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{txt}{sf}{ul off}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay.APPENDIX F.04-21-2025.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}21 Apr 2025, 09:58:13
{txt}
{com}. 
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. **************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. *** APPENDIX F MODELS: PLACEBO REFORM INTEVRENTION MODELS -- 'PLACEBO REFORM' IS THE IT REFORM PROGRAM/PROJECT START DATE THROUGH ITS DEVELOPMENT -- ACTUAL REFORM/IT REFORM INSTITUTION OBSERVATIONS ARE CONTROLLED AS A SEPARATE COVARIATE IN THE LINEAR-PARAMETRIC PORTION OF STATISTICAL MODELS TO ISOLATE ONLY THE PLACEBO REFORM EFFECT [MODELS F1-F6; FIGURES F1-F5] ***
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. *** RETRIEVE MANUSCRIPT DATABASE [as of 04-18-2025] ***
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. use "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Data\Implementation Delay.MANUSCRIPT DATABASE.04-18-2025.dta", replace
{txt}
{com}. 
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. *** SET DATA TO PANEL STRUCTURE  ***
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. xtset stateid monthyear, monthly
{res}
{col 1}{txt:Panel variable: }{res:stateid}{txt: (unbalanced)}
{p 1 16 2}{txt:Time variable: }{res:monthyear}{txt:, }{res:{bind:2002m1}}{txt: to }{res:{bind:2022m9}}{p_end}
{txt}{col 10}Delta: {res}1 month
{txt}
{com}. 
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. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. ** NOTE: WILL NEED TO EXCLUDE THE FOLLOWING STATE PANELS SINCE THE START DATES OCCUR PRIOR TO THE SAMPLE PERIOD THAT COMMENCES ON 1/2002 **
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. * NEW MEXICO (1ST IT REFORM ADOPTION/INSTITUTION: NOVEMBER 2002): STATEID==31; PROJECT START DATE: MAY 2001 *
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. * OHIO (IT REFORM ADOPTION/INSTITUTION: AUGUST 2004): STATEID==35; PROJECT START DATE: JANUARY 2000 *
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. * UTAH (IT REFORM ADOPTION/INSTITUTION: JANUARY 2006): STATEID==44; PROJECT START DATE: OCTOBER 2000 *
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. drop if stateid==31 | stateid==35 | stateid==44
{txt}(738 observations deleted)

{com}. 
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. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. *** CREATE 'PLACEBO' INTERVENTION/TREATMENT VARIABLES BASED ON PROJECT START DATE *** 
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. *** CREATE 'PLACEBO' INTERVENTION/TREATMENT VARIABLES BASED ON PROJECT START DATE *** 
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. ** create project start date counter that equals "1" for first month of project start date and increase by increments of one per each successive month until the IT reform is adopted/instituted/launched at monthyear "t + s"
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. gen itmod_monthcount_placebo = itmod_projectstartmonth
{txt}(7,237 missing values generated)

{com}. * 
. *
. * replace missing values for itmod_monthcount_placebo based on itmod_projectstartmonth missing values only for the pre-start date 'placebo' intervention/treatment periods [while leave adoption/institution of IT reform periods missing values as appears with itmod_projectstartmonth variable since these are to be excluded from the effective sample for this analysis 
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. * NOTE: MODELS BELOW INCORPORATE THE 'ADOPTION' TREATMENT AS A LINEAR, ADDITIVE CONTROL COVARIATE REQUIRES THE 2ND "REPLACE" COMMAND BELOW THAT INCREASES THE 'PLACEBO' TREATMENT BY INCREMENTS OF + 1 AT TIME OF ADOPTION/POST-ADOPTION ONCE IT REFORM IS LAUNCHED TO ENSURE POST-ADOPTION OBSERVATIONS DO NOT DROP OUT FROM STATISTICAL ESTIMATION *    
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. replace itmod_monthcount_placebo = 0 if itmod_monthcount_placebo==. & itmod_monthcount==0
{txt}(4,919 real changes made)

{com}. *
. replace itmod_monthcount_placebo = itmod_monthcount_placebo[_n-1] + 1  if itmod_monthcount_placebo==. & itmod_monthcount>0
{txt}(2,318 real changes made)

{com}. 
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. ** create binary 'placebo' treatment indicator [= 0 prior to start date; = 1 during project development phase (start date --> month prior to adoption/launch of IT reforms)] 
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. gen itmod_monthcount_placebo_binary = 1 if itmod_monthcount_placebo>0
{txt}(8,119 missing values generated)

{com}. * 
. replace itmod_monthcount_placebo_binary = 0 if itmod_monthcount_placebo==0
{txt}(8,119 real changes made)

{com}. 
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. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. *** GENERATE PROJECT START YEAR COHORT UNIT/FE BINARY INDICATORS ***
. *** [TO COMPLEMENT STANDARD STATE & YEAR BINARY INDICATORS -- THE SYBIs ACCOUNT FOR SEQUENCE OF STAGGERED PROJECT START DATES ON PERFORMANCE 
. *** RESULTING FROM IT MODERNIZATION REFORM 'PLACEBO TREATMENTS' TAKING PLACE] ***
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. *** PURPOSE: CONTROL FOR STAGGERED/HETEROGENOUS SEQUENCE OF IT MODERNIZATION BEING STARTED AT VARIOUS TIMES IN DIFFERENT YEARS AS PROJECT START YEAR-TIME UNIT EFFECTS ***
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. *** 2003 IT PROJECT START DATES [MINNESOTA] ***
. generate startcohort_2003=1 if stateid==23
{txt}(11,567 missing values generated)

{com}. *
. replace startcohort_2003=0 if startcohort_2003==.
{txt}(11,567 real changes made)

{com}. 
. 
. 
. *** 2004 PROJECT START DATES [MISSISSIPPI, NEBRASKA (1ST IT REFORM)] ***
. generate startcohort_2004=1 if stateid==24 | stateid==27
{txt}(11,321 missing values generated)

{com}. * 
. replace startcohort_2004=0 if startcohort_2004==.
{txt}(11,321 real changes made)

{com}. 
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. 
. *** 2005 PROJECT START DATES [ILLINOIS, INDIANA] ***
. generate startcohort_2005=1 if stateid==13 | stateid==14
{txt}(11,321 missing values generated)

{com}. * 
. replace startcohort_2005=0 if startcohort_2005==.
{txt}(11,321 real changes made)

{com}. 
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. *** 2006 PROJECT START DATES [NEW HAMPSHIRE] ***
. generate startcohort_2006=1 if stateid==29
{txt}(11,567 missing values generated)

{com}. * 
. replace startcohort_2006=0 if startcohort_2006==.
{txt}(11,567 real changes made)

{com}. 
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. *** 2007 PROJECT START DATES [MASSACHUSETTS, NEW MEXICO (2ND IT REFORM] ***
. generate startcohort_2007=1 if stateid==21 | stateid==52 
{txt}(11,321 missing values generated)

{com}. * 
. replace startcohort_2007=0 if startcohort_2007==.
{txt}(11,321 real changes made)

{com}. 
. 
. *** 2008 PROJECT START DATES [FLORIDA] ***
. generate startcohort_2008=1 if stateid==9 
{txt}(11,567 missing values generated)

{com}. * 
. replace startcohort_2008=0 if startcohort_2008==.
{txt}(11,567 real changes made)

{com}. 
. 
. 
. *** 2009 IT PROJECT START DATES [CALIFORNIA; MISSISSIPPI, NEW HAMPSHIRE, & VIRGINIA] ***
. generate startcohort_2009=1 if stateid==5 | stateid==24 |  stateid==29 | stateid==46
{txt}(10,829 missing values generated)

{com}. * 
. replace startcohort_2009=0 if startcohort_2009==.
{txt}(10,829 real changes made)

{com}. 
. 
. 
. *** 2010 PROJECT START DATES [ILLINOIS, NEVADA] ***
. generate startcohort_2010=1 if stateid==13 | stateid==28
{txt}(11,321 missing values generated)

{com}. * 
. replace startcohort_2010=0 if startcohort_2010==.
{txt}(11,321 real changes made)

{com}. 
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. 
. *** 2012 PROJECT START DATES [IDAHO, LOUISIANA, MICHIGAN, MISSOURI] ***
. generate startcohort_2012=1 if stateid==12 | stateid==18 | stateid==22 | stateid==25
{txt}(10,826 missing values generated)

{com}. * 
. replace startcohort_2012=0 if startcohort_2012==.
{txt}(10,826 real changes made)

{com}. 
. 
. 
. *** 2013 PROJECT START DATES [MAINE, NEBRASKA (2ND IT REFORM), NORTH CAROLINA] ***
. generate startcohort_2013=1 if stateid==19 | stateid==51 | stateid==33 
{txt}(11,075 missing values generated)

{com}. * 
. replace startcohort_2013=0 if startcohort_2013==.
{txt}(11,075 real changes made)

{com}. 
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. *** 2014 PROJECT START DATES [TENNESSEE] ***
. generate startcohort_2014=1 if stateid==42 
{txt}(11,567 missing values generated)

{com}. * 
. replace startcohort_2014=0 if startcohort_2014==.
{txt}(11,567 real changes made)

{com}. 
. 
. 
. *** 2015 PROJECT START DATES [MARYLAND, WASHINGTON] ***
. generate startcohort_2015=1 if stateid==20 | stateid==47    
{txt}(11,321 missing values generated)

{com}. * 
. replace startcohort_2015=0 if startcohort_2015==.
{txt}(11,321 real changes made)

{com}. 
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. *** 2016 PROJECT START DATES [SOUTH CAROLINA] ***
. generate startcohort_2016=1 if stateid==40
{txt}(11,567 missing values generated)

{com}. *
. replace startcohort_2016=0 if startcohort_2016==.
{txt}(11,567 real changes made)

{com}. *
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. *** 2017 PROJECT START DATES [ALABAMA, COLORADO, PENNSYLVANIA, WYOMING] ***
. generate startcohort_2017=1 if stateid==1 | stateid==6 | stateid==38 | stateid==50    
{txt}(10,826 missing values generated)

{com}. * 
. replace startcohort_2017=0 if startcohort_2017==.
{txt}(10,826 real changes made)

{com}. 
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. **********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. *** COMPUTE PROJECT START DATE YEAR COHORT * 'PLACEBO' TREATMENT INTERACTION EFFECTS ***
. *** [state group project start date cohort [based on common year of project start date] * 'placebo' treatment effect ***                                                                                                    
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. *** NOTE: This is activated as "1" starting in the exact month when the IT reform project start date commences within a given year to ensure pre-'placebo' treatment monthly observations wihtin a adoption year take on "0" values] ***
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. *
. *
. *
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. generate startcohort_2003_itstart = startcohort_2003*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2004_itstart = startcohort_2004*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2005_itstart = startcohort_2005*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2006_itstart = startcohort_2006*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2007_itstart = startcohort_2007*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2008_itstart = startcohort_2008*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2009_itstart = startcohort_2009*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2010_itstart = startcohort_2010*itmod_monthcount_placebo_binary
{txt}
{com}. *
. *
. *
. generate startcohort_2012_itstart = startcohort_2012*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2013_itstart = startcohort_2013*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2014_itstart = startcohort_2014*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2015_itstart = startcohort_2015*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2016_itstart = startcohort_2016*itmod_monthcount_placebo_binary
{txt}
{com}. *
. generate startcohort_2017_itstart = startcohort_2017*itmod_monthcount_placebo_binary
{txt}
{com}. *
. *
. *
. *     
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. ********************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
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. **** TEST H1: MODELS F1 & F2: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL adaptation, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [APRIL 2025]: ORGANIZATIONAL adaptation EFFECTS ON IMPLEMENTATION DELAY ****
. ***            (MODELS F1-F2; FIGURES F1A-F1B; F1C-F1D)
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. *** ESTIMATE MODEL F1: EFFECTIVE PERFORMANCE RATE [PROPORTION OF CASES WHERE INITIAL CLAIMS ARE EXECUTED WITHIN 14 DOL PERFORMANCE STANDARD: [CONTROLS, PLUS STATE, YEAR, AND YEAR-ADOPTION COHORT UNIT EFFECTS] ***    (FIGURES F1A-F1B) 
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. npregress series delay_14days  itmod_monthcount_placebo i.agencyhead_gov0 if itmod_adopt_state==1 , asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year   itmod_monthcount   startcohort_2003_itstart startcohort_2004_itstart startcohort_2005_itstart   startcohort_2006_itstart  startcohort_2007_itstart  startcohort_2008_itstart  startcohort_2009_itstart  startcohort_2010_itstart  startcohort_2012_itstart  startcohort_2013_itstart  startcohort_2014_itstart  startcohort_2015_itstart  startcohort_2016_itstart startcohort_2017_itstart)  vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0308592{col 38}{space 2} .0063103{col 49}{space 1}    4.89{col 58}{space 3}0.000{col 66}{space 4} .0184913{col 79}{space 3} .0432271
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0453832{col 38}{space 2} .0064452{col 49}{space 1}    7.04{col 58}{space 3}0.000{col 66}{space 4} .0327509{col 79}{space 3} .0580154
{txt}{space 19}2005  {c |}{col 26}{res}{space 2} .0385745{col 38}{space 2} .0074253{col 49}{space 1}    5.20{col 58}{space 3}0.000{col 66}{space 4} .0240213{col 79}{space 3} .0531278
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0361353{col 38}{space 2} .0076009{col 49}{space 1}    4.75{col 58}{space 3}0.000{col 66}{space 4} .0212377{col 79}{space 3} .0510328
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0326838{col 38}{space 2} .0077428{col 49}{space 1}    4.22{col 58}{space 3}0.000{col 66}{space 4} .0175081{col 79}{space 3} .0478594
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .0279549{col 38}{space 2} .0079551{col 49}{space 1}    3.51{col 58}{space 3}0.000{col 66}{space 4} .0123632{col 79}{space 3} .0435466
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0181184{col 38}{space 2} .0100342{col 49}{space 1}    1.81{col 58}{space 3}0.071{col 66}{space 4}-.0015481{col 79}{space 3}  .037785
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0324502{col 38}{space 2} .0108487{col 49}{space 1}    2.99{col 58}{space 3}0.003{col 66}{space 4} .0111872{col 79}{space 3} .0537133
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0441164{col 38}{space 2} .0098665{col 49}{space 1}    4.47{col 58}{space 3}0.000{col 66}{space 4} .0247785{col 79}{space 3} .0634543
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0182579{col 38}{space 2} .0101492{col 49}{space 1}    1.80{col 58}{space 3}0.072{col 66}{space 4}-.0016342{col 79}{space 3}   .03815
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0245458{col 38}{space 2} .0102728{col 49}{space 1}    2.39{col 58}{space 3}0.017{col 66}{space 4} .0044115{col 79}{space 3}   .04468
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .0453134{col 38}{space 2} .0107037{col 49}{space 1}    4.23{col 58}{space 3}0.000{col 66}{space 4} .0243346{col 79}{space 3} .0662923
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0571201{col 38}{space 2} .0105985{col 49}{space 1}    5.39{col 58}{space 3}0.000{col 66}{space 4} .0363475{col 79}{space 3} .0778927
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0692543{col 38}{space 2} .0111799{col 49}{space 1}    6.19{col 58}{space 3}0.000{col 66}{space 4}  .047342{col 79}{space 3} .0911665
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0691356{col 38}{space 2} .0122222{col 49}{space 1}    5.66{col 58}{space 3}0.000{col 66}{space 4} .0451806{col 79}{space 3} .0930907
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0657649{col 38}{space 2} .0126665{col 49}{space 1}    5.19{col 58}{space 3}0.000{col 66}{space 4} .0409389{col 79}{space 3} .0905908
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0640998{col 38}{space 2} .0134435{col 49}{space 1}    4.77{col 58}{space 3}0.000{col 66}{space 4} .0377509{col 79}{space 3} .0904486
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} -.129851{col 38}{space 2} .0187484{col 49}{space 1}   -6.93{col 58}{space 3}0.000{col 66}{space 4}-.1665973{col 79}{space 3}-.0931047
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.2115668{col 38}{space 2} .0174001{col 49}{space 1}  -12.16{col 58}{space 3}0.000{col 66}{space 4}-.2456704{col 79}{space 3}-.1774632
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1788582{col 38}{space 2} .0218667{col 49}{space 1}   -8.18{col 58}{space 3}0.000{col 66}{space 4}-.2217161{col 79}{space 3}-.1360003
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0008337{col 38}{space 2} .0002235{col 49}{space 1}    3.73{col 58}{space 3}0.000{col 66}{space 4} .0003955{col 79}{space 3} .0012718
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2} .0313829{col 38}{space 2} .0144218{col 49}{space 1}    2.18{col 58}{space 3}0.030{col 66}{space 4} .0031166{col 79}{space 3} .0596492
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2}-.0638933{col 38}{space 2} .0106802{col 49}{space 1}   -5.98{col 58}{space 3}0.000{col 66}{space 4}-.0848261{col 79}{space 3}-.0429605
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2}-.0302205{col 38}{space 2} .0128155{col 49}{space 1}   -2.36{col 58}{space 3}0.018{col 66}{space 4}-.0553385{col 79}{space 3}-.0051025
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2} .2552975{col 38}{space 2} .0198268{col 49}{space 1}   12.88{col 58}{space 3}0.000{col 66}{space 4} .2164377{col 79}{space 3} .2941573
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0412756{col 38}{space 2} .0160443{col 49}{space 1}    2.57{col 58}{space 3}0.010{col 66}{space 4} .0098294{col 79}{space 3} .0727219
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2}-.0551263{col 38}{space 2} .0152646{col 49}{space 1}   -3.61{col 58}{space 3}0.000{col 66}{space 4}-.0850444{col 79}{space 3}-.0252082
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2}-.0194322{col 38}{space 2} .0111579{col 49}{space 1}   -1.74{col 58}{space 3}0.082{col 66}{space 4}-.0413012{col 79}{space 3} .0024369
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2}   .02796{col 38}{space 2}  .011741{col 49}{space 1}    2.38{col 58}{space 3}0.017{col 66}{space 4} .0049481{col 79}{space 3} .0509719
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2}-.0041014{col 38}{space 2} .0128549{col 49}{space 1}   -0.32{col 58}{space 3}0.750{col 66}{space 4}-.0292966{col 79}{space 3} .0210938
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2}-.0348516{col 38}{space 2} .0140474{col 49}{space 1}   -2.48{col 58}{space 3}0.013{col 66}{space 4} -.062384{col 79}{space 3}-.0073193
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2} -.061909{col 38}{space 2}  .026903{col 49}{space 1}   -2.30{col 58}{space 3}0.021{col 66}{space 4}-.1146379{col 79}{space 3}-.0091802
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2}-.1039056{col 38}{space 2} .0154274{col 49}{space 1}   -6.74{col 58}{space 3}0.000{col 66}{space 4}-.1341428{col 79}{space 3}-.0736685
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2} -.028502{col 38}{space 2} .0219568{col 49}{space 1}   -1.30{col 58}{space 3}0.194{col 66}{space 4}-.0715366{col 79}{space 3} .0145327
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2} .0271154{col 38}{space 2} .0166554{col 49}{space 1}    1.63{col 58}{space 3}0.104{col 66}{space 4}-.0055286{col 79}{space 3} .0597594
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. 
. 
. * [MODEL F1] FIGURE F1A:  UNCONDITIONAL ADAPTATION EFFECTS -- E(Y) [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,648}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .8167914{col 26}{space 2} .0080194{col 37}{space 1}  101.85{col 46}{space 3}0.000{col 54}{space 4} .8010737{col 67}{space 3} .8325092
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .8178272{col 26}{space 2} .0062683{col 37}{space 1}  130.47{col 46}{space 3}0.000{col 54}{space 4} .8055416{col 67}{space 3} .8301129
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .8197797{col 26}{space 2} .0076712{col 37}{space 1}  106.86{col 46}{space 3}0.000{col 54}{space 4} .8047444{col 67}{space 3}  .834815
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .8179654{col 26}{space 2} .0081634{col 37}{space 1}  100.20{col 46}{space 3}0.000{col 54}{space 4} .8019653{col 67}{space 3} .8339654
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .8153591{col 26}{space 2}  .007576{col 37}{space 1}  107.62{col 46}{space 3}0.000{col 54}{space 4} .8005104{col 67}{space 3} .8302078
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .8127651{col 26}{space 2} .0071509{col 37}{space 1}  113.66{col 46}{space 3}0.000{col 54}{space 4} .7987497{col 67}{space 3} .8267806
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .8101859{col 26}{space 2} .0068293{col 37}{space 1}  118.63{col 46}{space 3}0.000{col 54}{space 4} .7968007{col 67}{space 3} .8235712
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .8076241{col 26}{space 2} .0065665{col 37}{space 1}  122.99{col 46}{space 3}0.000{col 54}{space 4} .7947539{col 67}{space 3} .8204943
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .8050823{col 26}{space 2} .0063354{col 37}{space 1}  127.08{col 46}{space 3}0.000{col 54}{space 4} .7926651{col 67}{space 3} .8174995
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .8025629{col 26}{space 2} .0061274{col 37}{space 1}  130.98{col 46}{space 3}0.000{col 54}{space 4} .7905534{col 67}{space 3} .8145724
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .8000686{col 26}{space 2} .0059515{col 37}{space 1}  134.43{col 46}{space 3}0.000{col 54}{space 4}  .788404{col 67}{space 3} .8117333
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  .797602{col 26}{space 2} .0058319{col 37}{space 1}  136.77{col 46}{space 3}0.000{col 54}{space 4} .7861718{col 67}{space 3} .8090322
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F1A{c )-}""{c -(}bf:Unconditional Adaptation Estimates{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F1]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1A.04-21.2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1A.04-21.2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1A.04-21.2025.gph} saved

{com}. 
. *
. *
. *
. *
. 
. * [MODEL F1] FIGURE F1B:  First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]: ***
. 
. *** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***
. 
. 
. margins r.agencyhead_gov0, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,648}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 20}{c TT}{hline 11}{hline 12}{hline 11}
{col 21}{text}{c |}         df{col 33}        chi2{col 45}     P>chi2
{res}{col 1}{text}{hline 20}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    21.33{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  2  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    14.00{col 45}{space 2}   0.0002
{txt}{space 7}(1 vs 0)  3  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     1.28{col 45}{space 2}   0.2572
{txt}{space 7}(1 vs 0)  4  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     3.59{col 45}{space 2}   0.0582
{txt}{space 7}(1 vs 0)  5  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     9.92{col 45}{space 2}   0.0016
{txt}{space 7}(1 vs 0)  6  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    16.94{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  7  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    21.11{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  8  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    22.37{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  9  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    22.16{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 10  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    21.39{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 11  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    20.42{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 12  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    19.31{col 45}{space 2}   0.0000
{col 1}{text}             Joint {col 21}{c |}{result}  (not testable)
{col 1}{text}{hline 20}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}   Contrast{col 33}   std. err.{col 45}     [95% con{col 58}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {c |}{col 21}{res}{space 2}  .016323{col 33}{space 2}  .003534{col 44}{space 5} .0093964{col 58}{space 3} .0232496
{txt}{space 7}(1 vs 0)  2  {c |}{col 21}{res}{space 2}  .013974{col 33}{space 2} .0037352{col 44}{space 5} .0066532{col 58}{space 3} .0212949
{txt}{space 7}(1 vs 0)  3  {c |}{col 21}{res}{space 2} .0105551{col 33}{space 2} .0093155{col 44}{space 5} -.007703{col 58}{space 3} .0288132
{txt}{space 7}(1 vs 0)  4  {c |}{col 21}{res}{space 2}  .016695{col 33}{space 2} .0088122{col 44}{space 5}-.0005767{col 58}{space 3} .0339666
{txt}{space 7}(1 vs 0)  5  {c |}{col 21}{res}{space 2} .0237419{col 33}{space 2} .0075385{col 44}{space 5} .0089666{col 58}{space 3} .0385171
{txt}{space 7}(1 vs 0)  6  {c |}{col 21}{res}{space 2} .0295417{col 33}{space 2} .0071776{col 44}{space 5} .0154739{col 58}{space 3} .0436096
{txt}{space 7}(1 vs 0)  7  {c |}{col 21}{res}{space 2} .0341521{col 33}{space 2} .0074334{col 44}{space 5}  .019583{col 58}{space 3} .0487213
{txt}{space 7}(1 vs 0)  8  {c |}{col 21}{res}{space 2} .0376307{col 33}{space 2} .0079555{col 44}{space 5} .0220381{col 58}{space 3} .0532233
{txt}{space 7}(1 vs 0)  9  {c |}{col 21}{res}{space 2} .0400349{col 33}{space 2} .0085038{col 44}{space 5} .0233678{col 58}{space 3} .0567021
{txt}{space 7}(1 vs 0) 10  {c |}{col 21}{res}{space 2} .0414225{col 33}{space 2} .0089557{col 44}{space 5} .0238696{col 58}{space 3} .0589753
{txt}{space 7}(1 vs 0) 11  {c |}{col 21}{res}{space 2} .0418509{col 33}{space 2} .0092623{col 44}{space 5} .0236971{col 58}{space 3} .0600047
{txt}{space 7}(1 vs 0) 12  {c |}{col 21}{res}{space 2} .0413778{col 33}{space 2} .0094152{col 44}{space 5} .0229243{col 58}{space 3} .0598313
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F1B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Government - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit{c )-}" "{c -(}bf:[MODEL F1]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+1 r-6)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
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. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1B.04-21-2025.gph", replace
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C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1B.04-21-2025.gph{rm}
not found)
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{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F1.FIGURE F1B.04-21-2025.gph} saved

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. *** MODEL F2: 28 DAYS OR MORE [DELAY] [MODEL F8 with ADDITIONAL COVARIATES: [PROPORTION OF CASES WHERE INITIAL CLAIMS ARE EXECUTED EXCEEDING 28 DAYS: [CONTROLS, PLUS STATE, YEAR, AND YEAR-ADOPTION COHORT UNIT EFFECTS] ***   (FIGURES F1C-F1D) 
. 
. npregress series delay_29plusdays  itmod_monthcount_placebo i.agencyhead_gov0 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year itmod_monthcount  startcohort_2003_itstart startcohort_2004_itstart startcohort_2005_itstart   startcohort_2006_itstart  startcohort_2007_itstart  startcohort_2008_itstart  startcohort_2009_itstart  startcohort_2010_itstart  startcohort_2012_itstart  startcohort_2013_itstart  startcohort_2014_itstart  startcohort_2015_itstart  startcohort_2016_itstart startcohort_2017_itstart)  vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        6,648
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{txt}{space 21}29  {c |}{col 26}{res}{space 2} .0984799{col 38}{space 2} .0171388{col 49}{space 1}    5.75{col 58}{space 3}0.000{col 66}{space 4} .0648884{col 79}{space 3} .1320713
{txt}{space 21}33  {c |}{col 26}{res}{space 2} .0528832{col 38}{space 2} .0070219{col 49}{space 1}    7.53{col 58}{space 3}0.000{col 66}{space 4} .0391205{col 79}{space 3} .0666458
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0120407{col 38}{space 2} .0064523{col 49}{space 1}    1.87{col 58}{space 3}0.062{col 66}{space 4}-.0006057{col 79}{space 3}  .024687
{txt}{space 21}40  {c |}{col 26}{res}{space 2}-.0181193{col 38}{space 2} .0070548{col 49}{space 1}   -2.57{col 58}{space 3}0.010{col 66}{space 4}-.0319465{col 79}{space 3}-.0042921
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0245647{col 38}{space 2} .0083801{col 49}{space 1}    2.93{col 58}{space 3}0.003{col 66}{space 4}   .00814{col 79}{space 3} .0409894
{txt}{space 21}46  {c |}{col 26}{res}{space 2}-.0053788{col 38}{space 2} .0068768{col 49}{space 1}   -0.78{col 58}{space 3}0.434{col 66}{space 4} -.018857{col 79}{space 3} .0080994
{txt}{space 21}47  {c |}{col 26}{res}{space 2}-.0211284{col 38}{space 2} .0063492{col 49}{space 1}   -3.33{col 58}{space 3}0.001{col 66}{space 4}-.0335726{col 79}{space 3}-.0086842
{txt}{space 21}50  {c |}{col 26}{res}{space 2}-.0668794{col 38}{space 2} .0124662{col 49}{space 1}   -5.36{col 58}{space 3}0.000{col 66}{space 4}-.0913127{col 79}{space 3}-.0424461
{txt}{space 21}51  {c |}{col 26}{res}{space 2}-.0126337{col 38}{space 2} .0072208{col 49}{space 1}   -1.75{col 58}{space 3}0.080{col 66}{space 4}-.0267863{col 79}{space 3} .0015188
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0059193{col 38}{space 2} .0069217{col 49}{space 1}    0.86{col 58}{space 3}0.392{col 66}{space 4} -.007647{col 79}{space 3} .0194856
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0202955{col 38}{space 2}   .00386{col 49}{space 1}   -5.26{col 58}{space 3}0.000{col 66}{space 4}-.0278609{col 79}{space 3}  -.01273
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0243426{col 38}{space 2} .0041403{col 49}{space 1}   -5.88{col 58}{space 3}0.000{col 66}{space 4}-.0324575{col 79}{space 3}-.0162276
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}-.0208709{col 38}{space 2} .0048602{col 49}{space 1}   -4.29{col 58}{space 3}0.000{col 66}{space 4}-.0303967{col 79}{space 3} -.011345
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.0153159{col 38}{space 2} .0050436{col 49}{space 1}   -3.04{col 58}{space 3}0.002{col 66}{space 4}-.0252012{col 79}{space 3}-.0054306
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0175986{col 38}{space 2} .0054122{col 49}{space 1}   -3.25{col 58}{space 3}0.001{col 66}{space 4}-.0282063{col 79}{space 3}-.0069909
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0175231{col 38}{space 2} .0055545{col 49}{space 1}   -3.15{col 58}{space 3}0.002{col 66}{space 4}-.0284096{col 79}{space 3}-.0066365
{txt}{space 19}2009  {c |}{col 26}{res}{space 2}-.0163693{col 38}{space 2} .0078093{col 49}{space 1}   -2.10{col 58}{space 3}0.036{col 66}{space 4}-.0316752{col 79}{space 3}-.0010633
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0183689{col 38}{space 2} .0085869{col 49}{space 1}   -2.14{col 58}{space 3}0.032{col 66}{space 4} -.035199{col 79}{space 3}-.0015388
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0305177{col 38}{space 2} .0075332{col 49}{space 1}   -4.05{col 58}{space 3}0.000{col 66}{space 4}-.0452826{col 79}{space 3}-.0157528
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} -.010081{col 38}{space 2} .0076797{col 49}{space 1}   -1.31{col 58}{space 3}0.189{col 66}{space 4} -.025133{col 79}{space 3} .0049709
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} -.012743{col 38}{space 2} .0076588{col 49}{space 1}   -1.66{col 58}{space 3}0.096{col 66}{space 4} -.027754{col 79}{space 3}  .002268
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0152935{col 38}{space 2}  .007981{col 49}{space 1}   -1.92{col 58}{space 3}0.055{col 66}{space 4} -.030936{col 79}{space 3} .0003489
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0294159{col 38}{space 2} .0076098{col 49}{space 1}   -3.87{col 58}{space 3}0.000{col 66}{space 4}-.0443308{col 79}{space 3}-.0145009
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0312003{col 38}{space 2} .0079412{col 49}{space 1}   -3.93{col 58}{space 3}0.000{col 66}{space 4}-.0467648{col 79}{space 3}-.0156358
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0352663{col 38}{space 2} .0088951{col 49}{space 1}   -3.96{col 58}{space 3}0.000{col 66}{space 4}-.0527004{col 79}{space 3}-.0178321
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} -.029698{col 38}{space 2} .0094318{col 49}{space 1}   -3.15{col 58}{space 3}0.002{col 66}{space 4}-.0481841{col 79}{space 3} -.011212
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0285788{col 38}{space 2} .0100101{col 49}{space 1}   -2.85{col 58}{space 3}0.004{col 66}{space 4}-.0481983{col 79}{space 3}-.0089593
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1467937{col 38}{space 2} .0155209{col 49}{space 1}    9.46{col 58}{space 3}0.000{col 66}{space 4} .1163733{col 79}{space 3} .1772141
{txt}{space 19}2021  {c |}{col 26}{res}{space 2} .2242332{col 38}{space 2} .0143001{col 49}{space 1}   15.68{col 58}{space 3}0.000{col 66}{space 4} .1962055{col 79}{space 3} .2522608
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .2101342{col 38}{space 2} .0189587{col 49}{space 1}   11.08{col 58}{space 3}0.000{col 66}{space 4} .1729758{col 79}{space 3} .2472925
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0006872{col 38}{space 2} .0002076{col 49}{space 1}   -3.31{col 58}{space 3}0.001{col 66}{space 4}-.0010941{col 79}{space 3}-.0002802
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2} -.016202{col 38}{space 2} .0103573{col 49}{space 1}   -1.56{col 58}{space 3}0.118{col 66}{space 4} -.036502{col 79}{space 3}  .004098
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2} .0338326{col 38}{space 2} .0074926{col 49}{space 1}    4.52{col 58}{space 3}0.000{col 66}{space 4} .0191474{col 79}{space 3} .0485178
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2} .0059565{col 38}{space 2} .0106001{col 49}{space 1}    0.56{col 58}{space 3}0.574{col 66}{space 4}-.0148194{col 79}{space 3} .0267324
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2} -.082982{col 38}{space 2} .0178434{col 49}{space 1}   -4.65{col 58}{space 3}0.000{col 66}{space 4}-.1179543{col 79}{space 3}-.0480096
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0113893{col 38}{space 2}  .011246{col 49}{space 1}    1.01{col 58}{space 3}0.311{col 66}{space 4}-.0106524{col 79}{space 3} .0334311
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2} .0135113{col 38}{space 2} .0114824{col 49}{space 1}    1.18{col 58}{space 3}0.239{col 66}{space 4}-.0089938{col 79}{space 3} .0360163
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2} .0057507{col 38}{space 2} .0089007{col 49}{space 1}    0.65{col 58}{space 3}0.518{col 66}{space 4}-.0116943{col 79}{space 3} .0231957
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2}-.0116852{col 38}{space 2} .0094136{col 49}{space 1}   -1.24{col 58}{space 3}0.214{col 66}{space 4}-.0301356{col 79}{space 3} .0067651
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2}-.0105816{col 38}{space 2} .0100138{col 49}{space 1}   -1.06{col 58}{space 3}0.291{col 66}{space 4}-.0302083{col 79}{space 3} .0090451
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2} .0055233{col 38}{space 2} .0113059{col 49}{space 1}    0.49{col 58}{space 3}0.625{col 66}{space 4}-.0166359{col 79}{space 3} .0276824
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2} .0551009{col 38}{space 2} .0222039{col 49}{space 1}    2.48{col 58}{space 3}0.013{col 66}{space 4}  .011582{col 79}{space 3} .0986198
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2} .0722817{col 38}{space 2} .0140041{col 49}{space 1}    5.16{col 58}{space 3}0.000{col 66}{space 4} .0448341{col 79}{space 3} .0997292
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2} .0264743{col 38}{space 2} .0174531{col 49}{space 1}    1.52{col 58}{space 3}0.129{col 66}{space 4}-.0077331{col 79}{space 3} .0606817
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2}  .004447{col 38}{space 2} .0136231{col 49}{space 1}    0.33{col 58}{space 3}0.744{col 66}{space 4}-.0222538{col 79}{space 3} .0311478
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *
. *
. *
. 
. 
. * [MODEL F2] FIGURE F1C:  UNCONDITIONAL ADAPTATION EFFECTS -- E(Y) [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,648}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   std. err.{col 38}      z{col 46}   P>|z|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0854094{col 26}{space 2} .0066611{col 37}{space 1}   12.82{col 46}{space 3}0.000{col 54}{space 4} .0723539{col 67}{space 3} .0984649
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0844075{col 26}{space 2} .0052669{col 37}{space 1}   16.03{col 46}{space 3}0.000{col 54}{space 4} .0740846{col 67}{space 3} .0947304
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .081662{col 26}{space 2}   .00634{col 37}{space 1}   12.88{col 46}{space 3}0.000{col 54}{space 4} .0692357{col 67}{space 3} .0940882
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0814513{col 26}{space 2}  .006746{col 37}{space 1}   12.07{col 46}{space 3}0.000{col 54}{space 4} .0682294{col 67}{space 3} .0946731
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .082184{col 26}{space 2} .0062966{col 37}{space 1}   13.05{col 46}{space 3}0.000{col 54}{space 4} .0698429{col 67}{space 3} .0945251
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0833073{col 26}{space 2} .0059644{col 37}{space 1}   13.97{col 46}{space 3}0.000{col 54}{space 4} .0716172{col 67}{space 3} .0949974
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0847784{col 26}{space 2} .0057007{col 37}{space 1}   14.87{col 46}{space 3}0.000{col 54}{space 4} .0736053{col 67}{space 3} .0959515
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0865545{col 26}{space 2} .0054702{col 37}{space 1}   15.82{col 46}{space 3}0.000{col 54}{space 4} .0758331{col 67}{space 3}  .097276
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0885929{col 26}{space 2}  .005254{col 37}{space 1}   16.86{col 46}{space 3}0.000{col 54}{space 4} .0782953{col 67}{space 3} .0988906
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0908508{col 26}{space 2} .0050492{col 37}{space 1}   17.99{col 46}{space 3}0.000{col 54}{space 4} .0809546{col 67}{space 3}  .100747
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0932854{col 26}{space 2} .0048685{col 37}{space 1}   19.16{col 46}{space 3}0.000{col 54}{space 4} .0837433{col 67}{space 3} .1028275
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  .095854{col 26}{space 2} .0047387{col 37}{space 1}   20.23{col 46}{space 3}0.000{col 54}{space 4} .0865664{col 67}{space 3} .1051416
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> legend(on order(1 "Unconditional Adaptation") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F1C{c )-}""{c -(}bf:Unconditional Adaptation Estimates{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F2]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1C.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1C.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1C.04-21-2025.gph} saved

{com}. 
. *
. *
. *
. *
. 
. * [MODEL F2] FIGURE F1D:  First-Difference Marginal Effect AGENCYHEAD_GOV0==1 - AGENCYHEAD_GOV0==0 [WITH RESPECT TO MONTHS SINCE ADOPTION (t + k) [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]: ***
. 
. *** ON THE IMPORTANCE OF GOVERNMENT EXPERIENCE [ANY TYPE: POLITICAL/ADMINISTRATIVE/AGENCY-SPECIFIC] ***
. 
. 
. margins r.agencyhead_gov0, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:6,648}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 20}{c TT}{hline 11}{hline 12}{hline 11}
{col 21}{text}{c |}         df{col 33}        chi2{col 45}     P>chi2
{res}{col 1}{text}{hline 20}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    17.84{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  2  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     3.67{col 45}{space 2}   0.0553
{txt}{space 7}(1 vs 0)  3  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.09{col 45}{space 2}   0.7666
{txt}{space 7}(1 vs 0)  4  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     0.39{col 45}{space 2}   0.5317
{txt}{space 7}(1 vs 0)  5  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}     4.60{col 45}{space 2}   0.0321
{txt}{space 7}(1 vs 0)  6  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    12.12{col 45}{space 2}   0.0005
{txt}{space 7}(1 vs 0)  7  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    18.35{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  8  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    21.50{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0)  9  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    22.54{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 10  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    22.46{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 11  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    21.79{col 45}{space 2}   0.0000
{txt}{space 7}(1 vs 0) 12  {res}{col 21}{text}{c |}{result}{space 2}        1{col 33}{space 3}    20.70{col 45}{space 2}   0.0000
{col 1}{text}             Joint {col 21}{c |}{result}  (not testable)
{col 1}{text}{hline 20}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 21}{c |}{col 33} Delta-method
{col 21}{c |}   Contrast{col 33}   std. err.{col 45}     [95% con{col 58}f. interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_gov0@_at {c |}
{space 7}(1 vs 0)  1  {c |}{col 21}{res}{space 2}-.0095961{col 33}{space 2} .0022717{col 44}{space 5}-.0140485{col 58}{space 3}-.0051437
{txt}{space 7}(1 vs 0)  2  {c |}{col 21}{res}{space 2}-.0054171{col 33}{space 2} .0028269{col 44}{space 5}-.0109577{col 58}{space 3} .0001235
{txt}{space 7}(1 vs 0)  3  {c |}{col 21}{res}{space 2} .0023522{col 33}{space 2} .0079257{col 44}{space 5} -.013182{col 58}{space 3} .0178864
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{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Government - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F1D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Government - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days{c )-}" "{c -(}bf:[MODEL F2]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+1 r-6)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1D.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1D.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F2.FIGURE F1D.04-21-2025.gph} saved

{com}. 
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. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
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. **** TEST H2: MODELS F3 & F4: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL adaptation, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [April 2025]: ORGANIZATIONAL ADAPTATION EFFECTS ON IMPLEMENTATION DELAY ****
. ***           (MODELS F3-F4; FIGURES F2A-F2F; F3A-F3F)
. 
. 
. 
. *** ESTIMATE MODEL F3: 14 DAYS OR LESS [DELAY] [PROPORTION OF CASES WHERE INITIAL CLAIMS ARE EXECUTED WITHIN 14 DOL PERFORMANCE STANDARD: [CONTROLS, PLUS STATE, YEAR, AND YEAR-ADOPTION COHORT UNIT EFFECTS] ***       (FIGURES F2A-F2F) 
. 
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{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        6,648
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}            delay_14days{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2} .0000762{col 38}{space 2} .0000419{col 49}{space 1}    1.82{col 58}{space 3}0.069{col 66}{space 4}-5.88e-06{col 79}{space 3} .0001583
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2}-.0749889{col 38}{space 2} .0103586{col 49}{space 1}   -7.24{col 58}{space 3}0.000{col 66}{space 4}-.0952914{col 79}{space 3}-.0546865
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2} 5.99e-06{col 38}{space 2} 8.74e-07{col 49}{space 1}    6.85{col 58}{space 3}0.000{col 66}{space 4} 4.27e-06{col 79}{space 3} 7.70e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2}-.3722884{col 38}{space 2} .0620867{col 49}{space 1}   -6.00{col 58}{space 3}0.000{col 66}{space 4}-.4939761{col 79}{space 3}-.2506007
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2}-.0080945{col 38}{space 2} .0016626{col 49}{space 1}   -4.87{col 58}{space 3}0.000{col 66}{space 4}-.0113532{col 79}{space 3}-.0048358
{txt}{space 1}function_sup_avgsalreal {c |}{col 26}{res}{space 2} 8.27e-07{col 38}{space 2} 2.39e-07{col 49}{space 1}    3.46{col 58}{space 3}0.001{col 66}{space 4} 3.59e-07{col 79}{space 3} 1.30e-06
{txt}{space 24} {c |}
{space 17}stateid {c |}
{space 22}5  {c |}{col 26}{res}{space 2}-.0199285{col 38}{space 2}  .009918{col 49}{space 1}   -2.01{col 58}{space 3}0.045{col 66}{space 4}-.0393675{col 79}{space 3}-.0004895
{txt}{space 22}6  {c |}{col 26}{res}{space 2}   .03327{col 38}{space 2} .0115579{col 49}{space 1}    2.88{col 58}{space 3}0.004{col 66}{space 4}  .010617{col 79}{space 3}  .055923
{txt}{space 22}9  {c |}{col 26}{res}{space 2} .0818395{col 38}{space 2} .0106165{col 49}{space 1}    7.71{col 58}{space 3}0.000{col 66}{space 4} .0610316{col 79}{space 3} .1026474
{txt}{space 21}12  {c |}{col 26}{res}{space 2} .1862348{col 38}{space 2} .0119953{col 49}{space 1}   15.53{col 58}{space 3}0.000{col 66}{space 4} .1627244{col 79}{space 3} .2097452
{txt}{space 21}13  {c |}{col 26}{res}{space 2}  .088126{col 38}{space 2}  .011427{col 49}{space 1}    7.71{col 58}{space 3}0.000{col 66}{space 4} .0657295{col 79}{space 3} .1105224
{txt}{space 21}14  {c |}{col 26}{res}{space 2} .0517692{col 38}{space 2} .0121461{col 49}{space 1}    4.26{col 58}{space 3}0.000{col 66}{space 4} .0279632{col 79}{space 3} .0755752
{txt}{space 21}18  {c |}{col 26}{res}{space 2}  .036111{col 38}{space 2} .0114755{col 49}{space 1}    3.15{col 58}{space 3}0.002{col 66}{space 4} .0136194{col 79}{space 3} .0586025
{txt}{space 21}19  {c |}{col 26}{res}{space 2} .0753487{col 38}{space 2}  .009252{col 49}{space 1}    8.14{col 58}{space 3}0.000{col 66}{space 4} .0572151{col 79}{space 3} .0934823
{txt}{space 21}20  {c |}{col 26}{res}{space 2}-.0234012{col 38}{space 2} .0090456{col 49}{space 1}   -2.59{col 58}{space 3}0.010{col 66}{space 4}-.0411303{col 79}{space 3}-.0056721
{txt}{space 21}21  {c |}{col 26}{res}{space 2}-.1344999{col 38}{space 2} .0177736{col 49}{space 1}   -7.57{col 58}{space 3}0.000{col 66}{space 4}-.1693355{col 79}{space 3}-.0996642
{txt}{space 21}22  {c |}{col 26}{res}{space 2}-.0767991{col 38}{space 2} .0102757{col 49}{space 1}   -7.47{col 58}{space 3}0.000{col 66}{space 4}-.0969391{col 79}{space 3}-.0566592
{txt}{space 21}23  {c |}{col 26}{res}{space 2} .0255516{col 38}{space 2} .0118067{col 49}{space 1}    2.16{col 58}{space 3}0.030{col 66}{space 4} .0024109{col 79}{space 3} .0486923
{txt}{space 21}24  {c |}{col 26}{res}{space 2} .1384375{col 38}{space 2} .0097978{col 49}{space 1}   14.13{col 58}{space 3}0.000{col 66}{space 4} .1192342{col 79}{space 3} .1576408
{txt}{space 21}25  {c |}{col 26}{res}{space 2}  .070322{col 38}{space 2} .0092653{col 49}{space 1}    7.59{col 58}{space 3}0.000{col 66}{space 4} .0521623{col 79}{space 3} .0884817
{txt}{space 21}27  {c |}{col 26}{res}{space 2} .0930101{col 38}{space 2} .0105334{col 49}{space 1}    8.83{col 58}{space 3}0.000{col 66}{space 4} .0723649{col 79}{space 3} .1136552
{txt}{space 21}28  {c |}{col 26}{res}{space 2}-.0795695{col 38}{space 2} .0100699{col 49}{space 1}   -7.90{col 58}{space 3}0.000{col 66}{space 4}-.0993061{col 79}{space 3}-.0598329
{txt}{space 21}29  {c |}{col 26}{res}{space 2}-.2010193{col 38}{space 2} .0179393{col 49}{space 1}  -11.21{col 58}{space 3}0.000{col 66}{space 4}-.2361797{col 79}{space 3}-.1658589
{txt}{space 21}33  {c |}{col 26}{res}{space 2} -.040002{col 38}{space 2}  .009715{col 49}{space 1}   -4.12{col 58}{space 3}0.000{col 66}{space 4}-.0590431{col 79}{space 3}-.0209609
{txt}{space 21}38  {c |}{col 26}{res}{space 2} .0540147{col 38}{space 2} .0093384{col 49}{space 1}    5.78{col 58}{space 3}0.000{col 66}{space 4} .0357117{col 79}{space 3} .0723177
{txt}{space 21}40  {c |}{col 26}{res}{space 2} .0744785{col 38}{space 2} .0098769{col 49}{space 1}    7.54{col 58}{space 3}0.000{col 66}{space 4} .0551201{col 79}{space 3} .0938369
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0213093{col 38}{space 2} .0099157{col 49}{space 1}    2.15{col 58}{space 3}0.032{col 66}{space 4} .0018749{col 79}{space 3} .0407438
{txt}{space 21}46  {c |}{col 26}{res}{space 2} .0767313{col 38}{space 2} .0101279{col 49}{space 1}    7.58{col 58}{space 3}0.000{col 66}{space 4}  .056881{col 79}{space 3} .0965815
{txt}{space 21}47  {c |}{col 26}{res}{space 2}  .098362{col 38}{space 2} .0084995{col 49}{space 1}   11.57{col 58}{space 3}0.000{col 66}{space 4} .0817034{col 79}{space 3} .1150207
{txt}{space 21}50  {c |}{col 26}{res}{space 2} .1034771{col 38}{space 2}  .015266{col 49}{space 1}    6.78{col 58}{space 3}0.000{col 66}{space 4} .0735563{col 79}{space 3} .1333979
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0736741{col 38}{space 2} .0093311{col 49}{space 1}    7.90{col 58}{space 3}0.000{col 66}{space 4} .0553854{col 79}{space 3} .0919628
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0240157{col 38}{space 2} .0147043{col 49}{space 1}    1.63{col 58}{space 3}0.102{col 66}{space 4}-.0048042{col 79}{space 3} .0528356
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0291308{col 38}{space 2} .0063059{col 49}{space 1}    4.62{col 58}{space 3}0.000{col 66}{space 4} .0167714{col 79}{space 3} .0414902
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0447547{col 38}{space 2} .0065902{col 49}{space 1}    6.79{col 58}{space 3}0.000{col 66}{space 4} .0318381{col 79}{space 3} .0576714
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}  .035894{col 38}{space 2} .0076428{col 49}{space 1}    4.70{col 58}{space 3}0.000{col 66}{space 4} .0209143{col 79}{space 3} .0508737
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0338017{col 38}{space 2} .0078797{col 49}{space 1}    4.29{col 58}{space 3}0.000{col 66}{space 4} .0183578{col 79}{space 3} .0492456
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0312549{col 38}{space 2} .0079177{col 49}{space 1}    3.95{col 58}{space 3}0.000{col 66}{space 4} .0157364{col 79}{space 3} .0467734
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .0265462{col 38}{space 2} .0081068{col 49}{space 1}    3.27{col 58}{space 3}0.001{col 66}{space 4} .0106572{col 79}{space 3} .0424353
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0228483{col 38}{space 2} .0101138{col 49}{space 1}    2.26{col 58}{space 3}0.024{col 66}{space 4} .0030257{col 79}{space 3} .0426708
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0396342{col 38}{space 2} .0108747{col 49}{space 1}    3.64{col 58}{space 3}0.000{col 66}{space 4} .0183201{col 79}{space 3} .0609483
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0566205{col 38}{space 2} .0099348{col 49}{space 1}    5.70{col 58}{space 3}0.000{col 66}{space 4} .0371487{col 79}{space 3} .0760923
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0290041{col 38}{space 2}  .010246{col 49}{space 1}    2.83{col 58}{space 3}0.005{col 66}{space 4} .0089223{col 79}{space 3} .0490859
{txt}{space 19}2013  {c |}{col 26}{res}{space 2} .0304943{col 38}{space 2}  .010414{col 49}{space 1}    2.93{col 58}{space 3}0.003{col 66}{space 4} .0100832{col 79}{space 3} .0509054
{txt}{space 19}2014  {c |}{col 26}{res}{space 2} .0550282{col 38}{space 2}  .010745{col 49}{space 1}    5.12{col 58}{space 3}0.000{col 66}{space 4} .0339684{col 79}{space 3}  .076088
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0690388{col 38}{space 2} .0109305{col 49}{space 1}    6.32{col 58}{space 3}0.000{col 66}{space 4} .0476155{col 79}{space 3} .0904621
{txt}{space 19}2016  {c |}{col 26}{res}{space 2} .0829208{col 38}{space 2} .0114593{col 49}{space 1}    7.24{col 58}{space 3}0.000{col 66}{space 4} .0604609{col 79}{space 3} .1053807
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0861315{col 38}{space 2} .0125144{col 49}{space 1}    6.88{col 58}{space 3}0.000{col 66}{space 4} .0616038{col 79}{space 3} .1106592
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0837037{col 38}{space 2} .0130281{col 49}{space 1}    6.42{col 58}{space 3}0.000{col 66}{space 4} .0581692{col 79}{space 3} .1092383
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0825402{col 38}{space 2} .0137608{col 49}{space 1}    6.00{col 58}{space 3}0.000{col 66}{space 4} .0555696{col 79}{space 3} .1095108
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1039127{col 38}{space 2} .0191067{col 49}{space 1}   -5.44{col 58}{space 3}0.000{col 66}{space 4} -.141361{col 79}{space 3}-.0664643
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.1846432{col 38}{space 2} .0177873{col 49}{space 1}  -10.38{col 58}{space 3}0.000{col 66}{space 4}-.2195057{col 79}{space 3}-.1497807
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1514056{col 38}{space 2} .0222762{col 49}{space 1}   -6.80{col 58}{space 3}0.000{col 66}{space 4}-.1950661{col 79}{space 3} -.107745
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0009262{col 38}{space 2} .0002213{col 49}{space 1}    4.19{col 58}{space 3}0.000{col 66}{space 4} .0004925{col 79}{space 3}   .00136
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2} .0534948{col 38}{space 2} .0159049{col 49}{space 1}    3.36{col 58}{space 3}0.001{col 66}{space 4} .0223219{col 79}{space 3} .0846678
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2}-.0502787{col 38}{space 2} .0112411{col 49}{space 1}   -4.47{col 58}{space 3}0.000{col 66}{space 4}-.0723108{col 79}{space 3}-.0282466
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2}-.0274745{col 38}{space 2}  .013089{col 49}{space 1}   -2.10{col 58}{space 3}0.036{col 66}{space 4}-.0531284{col 79}{space 3}-.0018207
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2}  .260531{col 38}{space 2} .0207649{col 49}{space 1}   12.55{col 58}{space 3}0.000{col 66}{space 4} .2198325{col 79}{space 3} .3012294
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0418245{col 38}{space 2} .0171895{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .0081337{col 79}{space 3} .0755153
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2}-.0707418{col 38}{space 2} .0154426{col 49}{space 1}   -4.58{col 58}{space 3}0.000{col 66}{space 4}-.1010089{col 79}{space 3}-.0404748
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2}-.0387571{col 38}{space 2} .0115732{col 49}{space 1}   -3.35{col 58}{space 3}0.001{col 66}{space 4}-.0614402{col 79}{space 3}-.0160739
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2} .0124499{col 38}{space 2} .0121983{col 49}{space 1}    1.02{col 58}{space 3}0.307{col 66}{space 4}-.0114583{col 79}{space 3} .0363582
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2}-.0338754{col 38}{space 2} .0134782{col 49}{space 1}   -2.51{col 58}{space 3}0.012{col 66}{space 4}-.0602922{col 79}{space 3}-.0074585
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2}-.0429937{col 38}{space 2} .0144522{col 49}{space 1}   -2.97{col 58}{space 3}0.003{col 66}{space 4}-.0713194{col 79}{space 3} -.014668
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2}-.0645648{col 38}{space 2}  .027286{col 49}{space 1}   -2.37{col 58}{space 3}0.018{col 66}{space 4}-.1180445{col 79}{space 3}-.0110852
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2}-.1213649{col 38}{space 2} .0157987{col 49}{space 1}   -7.68{col 58}{space 3}0.000{col 66}{space 4}-.1523298{col 79}{space 3}-.0903999
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2}-.0329755{col 38}{space 2} .0223788{col 49}{space 1}   -1.47{col 58}{space 3}0.141{col 66}{space 4}-.0768372{col 79}{space 3} .0108862
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2} .0056668{col 38}{space 2} .0169558{col 49}{space 1}    0.33{col 58}{space 3}0.738{col 66}{space 4} -.027566{col 79}{space 3} .0388996
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. * [MODEL F3] FIGURE F2A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,712}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.85{col 49}{space 2}   0.0916
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9096
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.04{col 49}{space 2}   0.0247
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.79{col 49}{space 2}   0.0950
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.25{col 49}{space 2}   0.6142
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.67{col 49}{space 2}   0.4121
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.56{col 49}{space 2}   0.0593
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.53{col 49}{space 2}   0.0106
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.59{col 49}{space 2}   0.0034
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.76{col 49}{space 2}   0.0018
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.27{col 49}{space 2}   0.0014
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.26{col 49}{space 2}   0.0014
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2} .0119875{col 37}{space 2} .0071063{col 48}{space 5}-.0019405{col 62}{space 3} .0259155
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2}-.0007301{col 37}{space 2} .0064287{col 48}{space 5}-.0133301{col 62}{space 3} .0118699
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2}-.0296073{col 37}{space 2}  .013185{col 48}{space 5}-.0554494{col 62}{space 3}-.0037651
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2}-.0205007{col 37}{space 2} .0122777{col 48}{space 5}-.0445646{col 62}{space 3} .0035632
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}  -.00513{col 37}{space 2}  .010178{col 48}{space 5}-.0250784{col 62}{space 3} .0148184
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2} .0077303{col 37}{space 2} .0094245{col 48}{space 5}-.0107414{col 62}{space 3}  .026202
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2} .0182215{col 37}{space 2} .0096599{col 48}{space 5}-.0007117{col 62}{space 3} .0371546
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2} .0264847{col 37}{space 2} .0103627{col 48}{space 5} .0061741{col 62}{space 3} .0467953
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2} .0326611{col 37}{space 2} .0111464{col 48}{space 5} .0108145{col 62}{space 3} .0545077
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2} .0368921{col 37}{space 2} .0118099{col 48}{space 5} .0137451{col 62}{space 3} .0600391
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2} .0393188{col 37}{space 2} .0122715{col 48}{space 5}  .015267{col 62}{space 3} .0633705
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2} .0400824{col 37}{space 2}  .012514{col 48}{space 5} .0155554{col 62}{space 3} .0646095
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2A.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2A.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2A.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL F3] FIGURE F2B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,976}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    78.13{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    40.40{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.54{col 49}{space 2}   0.4642
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.02{col 49}{space 2}   0.3125
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.73{col 49}{space 2}   0.0296
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.70{col 49}{space 2}   0.0006
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    18.47{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.66{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    25.11{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    26.93{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    28.61{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    30.19{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2} .0545049{col 37}{space 2} .0061665{col 48}{space 5} .0424188{col 62}{space 3} .0665909
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2} .0421587{col 37}{space 2} .0066328{col 48}{space 5} .0291587{col 62}{space 3} .0551588
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2} .0113896{col 37}{space 2} .0155592{col 48}{space 5} -.019106{col 62}{space 3} .0418851
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2} .0141336{col 37}{space 2} .0139943{col 48}{space 5}-.0132947{col 62}{space 3} .0415618
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2} .0239346{col 37}{space 2} .0110049{col 48}{space 5} .0023654{col 62}{space 3} .0455038
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2} .0329878{col 37}{space 2} .0096456{col 48}{space 5} .0140827{col 62}{space 3} .0518929
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2} .0412379{col 37}{space 2} .0095942{col 48}{space 5} .0224336{col 62}{space 3} .0600422
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2} .0486295{col 37}{space 2} .0102165{col 48}{space 5} .0286056{col 62}{space 3} .0686535
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2} .0551073{col 37}{space 2} .0109981{col 48}{space 5} .0335513{col 62}{space 3} .0766632
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2} .0606158{col 37}{space 2} .0116796{col 48}{space 5} .0377242{col 62}{space 3} .0835074
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2} .0650997{col 37}{space 2} .0121707{col 48}{space 5} .0412455{col 62}{space 3} .0889539
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2} .0685037{col 37}{space 2} .0124685{col 48}{space 5} .0440658{col 62}{space 3} .0929415
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7B.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7B.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7B.04-21-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F3] FIGURE F2C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,848}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.07{col 49}{space 2}   0.1505
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.25{col 49}{space 2}   0.2631
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.98{col 49}{space 2}   0.0016
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.60{col 49}{space 2}   0.0001
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.73{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.61{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.97{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.31{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    16.37{col 49}{space 2}   0.0001
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.85{col 49}{space 2}   0.0002
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.85{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.27{col 49}{space 2}   0.0014
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2}-.0061323{col 37}{space 2} .0042656{col 48}{space 5}-.0144928{col 62}{space 3} .0022282
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2} .0052474{col 37}{space 2} .0046886{col 48}{space 5}-.0039422{col 62}{space 3} .0144369
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2} .0370061{col 37}{space 2} .0117127{col 48}{space 5} .0140497{col 62}{space 3} .0599625
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2} .0426442{col 37}{space 2} .0111621{col 48}{space 5} .0207668{col 62}{space 3} .0645216
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2} .0419192{col 37}{space 2} .0094369{col 48}{space 5} .0234233{col 62}{space 3} .0604151
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2} .0410526{col 37}{space 2} .0086344{col 48}{space 5} .0241295{col 62}{space 3} .0579757
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2} .0400374{col 37}{space 2} .0085411{col 48}{space 5} .0232971{col 62}{space 3} .0567777
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2} .0388663{col 37}{space 2} .0088438{col 48}{space 5} .0215327{col 62}{space 3}    .0562
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2} .0375323{col 37}{space 2} .0092776{col 48}{space 5} .0193486{col 62}{space 3} .0557161
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2} .0360282{col 37}{space 2} .0096811{col 48}{space 5} .0170536{col 62}{space 3} .0550029
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2} .0343469{col 37}{space 2} .0099764{col 48}{space 5} .0147935{col 62}{space 3} .0539003
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2} .0324811{col 37}{space 2} .0101376{col 48}{space 5} .0126117{col 62}{space 3} .0523505
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7C.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7C.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F7C.04-21-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL F3] FIGURE F2D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,800}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.36{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.78{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.54{col 49}{space 2}   0.0331
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.05{col 49}{space 2}   0.0442
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.94{col 49}{space 2}   0.0263
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.64{col 49}{space 2}   0.0176
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.48{col 49}{space 2}   0.0193
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.76{col 49}{space 2}   0.0291
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.23{col 49}{space 2}   0.0398
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.10{col 49}{space 2}   0.0429
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.35{col 49}{space 2}   0.0371
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.92{col 49}{space 2}   0.0266
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2} .0425174{col 37}{space 2} .0096628{col 48}{space 5} .0235786{col 62}{space 3} .0614561
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2} .0428888{col 37}{space 2} .0094084{col 48}{space 5} .0244488{col 62}{space 3} .0613289
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2} .0409968{col 37}{space 2} .0192446{col 48}{space 5}  .003278{col 62}{space 3} .0787157
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2} .0346342{col 37}{space 2} .0172157{col 48}{space 5}  .000892{col 62}{space 3} .0683765
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2} .0290645{col 37}{space 2} .0130775{col 48}{space 5} .0034331{col 62}{space 3}  .054696
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} .0252575{col 37}{space 2} .0106367{col 48}{space 5}   .00441{col 62}{space 3}  .046105
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2} .0230164{col 37}{space 2} .0098336{col 48}{space 5} .0037429{col 62}{space 3}   .04229
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2} .0221449{col 37}{space 2} .0101478{col 48}{space 5} .0022556{col 62}{space 3} .0420341
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2} .0224461{col 37}{space 2} .0109176{col 48}{space 5}  .001048{col 62}{space 3} .0438443
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2} .0237237{col 37}{space 2}  .011718{col 48}{space 5} .0007568{col 62}{space 3} .0466905
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2} .0257809{col 37}{space 2}  .012366{col 48}{space 5} .0015441{col 62}{space 3} .0500178
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2} .0284212{col 37}{space 2} .0128165{col 48}{space 5} .0033014{col 62}{space 3} .0535411
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2D.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2D.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2D.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F3] FIGURE F2E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,672}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.04{col 49}{space 2}   0.0140
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.75{col 49}{space 2}   0.3851
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.55{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.69{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.04{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.03{col 49}{space 2}   0.0002
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.87{col 49}{space 2}   0.0088
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.14{col 49}{space 2}   0.1434
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.30{col 49}{space 2}   0.5849
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9269
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.26{col 49}{space 2}   0.6128
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.57{col 49}{space 2}   0.4510
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2}-.0181198{col 37}{space 2} .0073727{col 48}{space 5}  -.03257{col 62}{space 3}-.0036696
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2} .0059775{col 37}{space 2} .0068828{col 48}{space 5}-.0075125{col 62}{space 3} .0194675
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2} .0666134{col 37}{space 2} .0143495{col 48}{space 5} .0384889{col 62}{space 3} .0947378
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} .0631449{col 37}{space 2} .0132573{col 48}{space 5} .0371611{col 62}{space 3} .0891287
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2} .0470492{col 37}{space 2} .0105094{col 48}{space 5} .0264511{col 62}{space 3} .0676472
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2} .0333223{col 37}{space 2} .0088953{col 48}{space 5} .0158879{col 62}{space 3} .0507567
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2} .0218159{col 37}{space 2} .0083232{col 48}{space 5} .0055028{col 62}{space 3}  .038129
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2} .0123817{col 37}{space 2} .0084622{col 48}{space 5}-.0042038{col 62}{space 3} .0289672
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2} .0048712{col 37}{space 2} .0089184{col 48}{space 5}-.0126086{col 62}{space 3}  .022351
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2}-.0008639{col 37}{space 2}  .009418{col 48}{space 5}-.0193227{col 62}{space 3}  .017595
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2}-.0049719{col 37}{space 2} .0098231{col 48}{space 5}-.0242248{col 62}{space 3}  .014281
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2}-.0076013{col 37}{space 2} .0100849{col 48}{space 5}-.0273674{col 62}{space 3} .0121648
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2E.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2E.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2E.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F3] FIGURE F2F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,936}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    83.87{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.09{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.14{col 49}{space 2}   0.1438
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.21{col 49}{space 2}   0.0733
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.12{col 49}{space 2}   0.1456
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.64{col 49}{space 2}   0.4249
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.02{col 49}{space 2}   0.8950
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.18{col 49}{space 2}   0.2776
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.54{col 49}{space 2}   0.0601
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.26{col 49}{space 2}   0.0123
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.98{col 49}{space 2}   0.0027
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.56{col 49}{space 2}   0.0007
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2}-.0606371{col 37}{space 2} .0066213{col 48}{space 5}-.0736146{col 62}{space 3}-.0476597
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2}-.0369114{col 37}{space 2} .0075199{col 48}{space 5}-.0516501{col 62}{space 3}-.0221727
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2} .0256165{col 37}{space 2} .0175239{col 48}{space 5}-.0087296{col 62}{space 3} .0599627
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2} .0285106{col 37}{space 2}  .015921{col 48}{space 5}-.0026939{col 62}{space 3} .0597152
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2} .0179846{col 37}{space 2} .0123583{col 48}{space 5}-.0062373{col 62}{space 3} .0422065
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2} .0080648{col 37}{space 2}  .010107{col 48}{space 5}-.0117445{col 62}{space 3} .0278742
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2}-.0012005{col 37}{space 2} .0090948{col 48}{space 5} -.019026{col 62}{space 3}  .016625
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2}-.0097632{col 37}{space 2} .0089914{col 48}{space 5}-.0273861{col 62}{space 3} .0078597
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2}-.0175749{col 37}{space 2} .0093471{col 48}{space 5}-.0358949{col 62}{space 3}  .000745
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2}-.0245876{col 37}{space 2} .0098263{col 48}{space 5}-.0438468{col 62}{space 3}-.0053284
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2}-.0307528{col 37}{space 2} .0102609{col 48}{space 5}-.0508638{col 62}{space 3}-.0106419
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2}-.0360226{col 37}{space 2} .0105967{col 48}{space 5}-.0567918{col 62}{space 3}-.0152534
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F2F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F3]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2F.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2F.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F3.FIGURE F2F.04-21-2025.gph} saved

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. *** ESTIMATE MODEL F4: 28 DAYS OR MORE [DELAY]  [PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE, YEAR, AND YEAR-ADOPTION COHORT UNIT EFFECTS] ***        (FIGURES F3A-F3F) 
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. npregress series delay_29plusdays  itmod_monthcount_placebo i.agencyhead_govord_1 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  itmod_monthcount startcohort_2003_itstart startcohort_2004_itstart startcohort_2005_itstart   startcohort_2006_itstart  startcohort_2007_itstart  startcohort_2008_itstart  startcohort_2009_itstart  startcohort_2010_itstart  startcohort_2012_itstart  startcohort_2013_itstart  startcohort_2014_itstart  startcohort_2015_itstart  startcohort_2016_itstart startcohort_2017_itstart)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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done
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        6,648
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}   Observed{col 38}   Bootstrap{col 66}         Norm{col 79}al-based
{col 1}        delay_29plusdays{col 26}{c |}     effect{col 38}   std. err.{col 50}      z{col 58}   P>|z|{col 66}     [95% con{col 79}f. interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 24} {c |}
{space 5}agencyhead_govord_1 {c |}
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{txt}{space 24} {c |}
{space 7}agencyhead_tenure {c |}{col 26}{res}{space 2}-.0000374{col 38}{space 2} .0000361{col 49}{space 1}   -1.03{col 58}{space 3}0.301{col 66}{space 4}-.0001082{col 79}{space 3} .0000334
{txt}{space 10}automationrate {c |}{col 26}{res}{space 2} .0409745{col 38}{space 2} .0087871{col 49}{space 1}    4.66{col 58}{space 3}0.000{col 66}{space 4}  .023752{col 79}{space 3} .0581969
{txt}{space 13}wstaff_load {c |}{col 26}{res}{space 2}-6.19e-06{col 38}{space 2} 7.79e-07{col 49}{space 1}   -7.95{col 58}{space 3}0.000{col 66}{space 4}-7.72e-06{col 79}{space 3}-4.67e-06
{txt}{space 13}staff_tdiff {c |}{col 26}{res}{space 2} .1870477{col 38}{space 2} .0425461{col 49}{space 1}    4.40{col 58}{space 3}0.000{col 66}{space 4}  .103659{col 79}{space 3} .2704365
{txt}{space 14}unemp_rate {c |}{col 26}{res}{space 2} .0072605{col 38}{space 2} .0015672{col 49}{space 1}    4.63{col 58}{space 3}0.000{col 66}{space 4} .0041888{col 79}{space 3} .0103321
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{txt}{space 24} {c |}
{space 17}stateid {c |}
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{txt}{space 21}28  {c |}{col 26}{res}{space 2} .0339998{col 38}{space 2} .0074875{col 49}{space 1}    4.54{col 58}{space 3}0.000{col 66}{space 4} .0193246{col 79}{space 3}  .048675
{txt}{space 21}29  {c |}{col 26}{res}{space 2} .0724313{col 38}{space 2} .0175241{col 49}{space 1}    4.13{col 58}{space 3}0.000{col 66}{space 4} .0380846{col 79}{space 3} .1067779
{txt}{space 21}33  {c |}{col 26}{res}{space 2} .0590311{col 38}{space 2} .0069935{col 49}{space 1}    8.44{col 58}{space 3}0.000{col 66}{space 4}  .045324{col 79}{space 3} .0727382
{txt}{space 21}38  {c |}{col 26}{res}{space 2}-.0047644{col 38}{space 2}  .007137{col 49}{space 1}   -0.67{col 58}{space 3}0.504{col 66}{space 4}-.0187526{col 79}{space 3} .0092238
{txt}{space 21}40  {c |}{col 26}{res}{space 2}-.0145273{col 38}{space 2} .0068019{col 49}{space 1}   -2.14{col 58}{space 3}0.033{col 66}{space 4}-.0278588{col 79}{space 3}-.0011959
{txt}{space 21}42  {c |}{col 26}{res}{space 2} .0292837{col 38}{space 2} .0078527{col 49}{space 1}    3.73{col 58}{space 3}0.000{col 66}{space 4} .0138927{col 79}{space 3} .0446747
{txt}{space 21}46  {c |}{col 26}{res}{space 2}-.0303185{col 38}{space 2} .0072989{col 49}{space 1}   -4.15{col 58}{space 3}0.000{col 66}{space 4}-.0446241{col 79}{space 3} -.016013
{txt}{space 21}47  {c |}{col 26}{res}{space 2}-.0341505{col 38}{space 2} .0066988{col 49}{space 1}   -5.10{col 58}{space 3}0.000{col 66}{space 4}  -.04728{col 79}{space 3} -.021021
{txt}{space 21}50  {c |}{col 26}{res}{space 2}-.0704439{col 38}{space 2} .0115905{col 49}{space 1}   -6.08{col 58}{space 3}0.000{col 66}{space 4}-.0931608{col 79}{space 3}-.0477271
{txt}{space 21}51  {c |}{col 26}{res}{space 2}-.0128756{col 38}{space 2}  .006958{col 49}{space 1}   -1.85{col 58}{space 3}0.064{col 66}{space 4}-.0265131{col 79}{space 3} .0007618
{txt}{space 21}52  {c |}{col 26}{res}{space 2}-.0135534{col 38}{space 2} .0089001{col 49}{space 1}   -1.52{col 58}{space 3}0.128{col 66}{space 4}-.0309973{col 79}{space 3} .0038904
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0191898{col 38}{space 2} .0038547{col 49}{space 1}   -4.98{col 58}{space 3}0.000{col 66}{space 4}-.0267449{col 79}{space 3}-.0116346
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} -.023885{col 38}{space 2} .0041926{col 49}{space 1}   -5.70{col 58}{space 3}0.000{col 66}{space 4}-.0321023{col 79}{space 3}-.0156678
{txt}{space 19}2005  {c |}{col 26}{res}{space 2} -.020124{col 38}{space 2} .0049677{col 49}{space 1}   -4.05{col 58}{space 3}0.000{col 66}{space 4}-.0298604{col 79}{space 3}-.0103875
{txt}{space 19}2006  {c |}{col 26}{res}{space 2}-.0150268{col 38}{space 2} .0051846{col 49}{space 1}   -2.90{col 58}{space 3}0.004{col 66}{space 4}-.0251884{col 79}{space 3}-.0048652
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0161406{col 38}{space 2}  .005475{col 49}{space 1}   -2.95{col 58}{space 3}0.003{col 66}{space 4}-.0268714{col 79}{space 3}-.0054098
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0163102{col 38}{space 2} .0056017{col 49}{space 1}   -2.91{col 58}{space 3}0.004{col 66}{space 4}-.0272894{col 79}{space 3} -.005331
{txt}{space 19}2009  {c |}{col 26}{res}{space 2}-.0201445{col 38}{space 2}  .007957{col 49}{space 1}   -2.53{col 58}{space 3}0.011{col 66}{space 4}  -.03574{col 79}{space 3} -.004549
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0242881{col 38}{space 2} .0086928{col 49}{space 1}   -2.79{col 58}{space 3}0.005{col 66}{space 4}-.0413256{col 79}{space 3}-.0072506
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0398377{col 38}{space 2} .0077484{col 49}{space 1}   -5.14{col 58}{space 3}0.000{col 66}{space 4}-.0550243{col 79}{space 3}-.0246511
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0187315{col 38}{space 2} .0078192{col 49}{space 1}   -2.40{col 58}{space 3}0.017{col 66}{space 4}-.0340568{col 79}{space 3}-.0034061
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0191896{col 38}{space 2} .0077958{col 49}{space 1}   -2.46{col 58}{space 3}0.014{col 66}{space 4}-.0344691{col 79}{space 3}  -.00391
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0229808{col 38}{space 2} .0080501{col 49}{space 1}   -2.85{col 58}{space 3}0.004{col 66}{space 4}-.0387587{col 79}{space 3}-.0072029
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} -.038561{col 38}{space 2} .0078979{col 49}{space 1}   -4.88{col 58}{space 3}0.000{col 66}{space 4}-.0540406{col 79}{space 3}-.0230814
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0388716{col 38}{space 2} .0082103{col 49}{space 1}   -4.73{col 58}{space 3}0.000{col 66}{space 4}-.0549635{col 79}{space 3}-.0227796
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0444156{col 38}{space 2} .0091058{col 49}{space 1}   -4.88{col 58}{space 3}0.000{col 66}{space 4}-.0622626{col 79}{space 3}-.0265686
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0391389{col 38}{space 2} .0096857{col 49}{space 1}   -4.04{col 58}{space 3}0.000{col 66}{space 4}-.0581225{col 79}{space 3}-.0201553
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0379423{col 38}{space 2} .0102286{col 49}{space 1}   -3.71{col 58}{space 3}0.000{col 66}{space 4}  -.05799{col 79}{space 3}-.0178945
{txt}{space 19}2020  {c |}{col 26}{res}{space 2} .1341331{col 38}{space 2} .0159101{col 49}{space 1}    8.43{col 58}{space 3}0.000{col 66}{space 4} .1029499{col 79}{space 3} .1653163
{txt}{space 19}2021  {c |}{col 26}{res}{space 2} .2104529{col 38}{space 2} .0146005{col 49}{space 1}   14.41{col 58}{space 3}0.000{col 66}{space 4} .1818365{col 79}{space 3} .2390694
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .1969748{col 38}{space 2} .0193631{col 49}{space 1}   10.17{col 58}{space 3}0.000{col 66}{space 4} .1590238{col 79}{space 3} .2349257
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0007709{col 38}{space 2} .0002085{col 49}{space 1}   -3.70{col 58}{space 3}0.000{col 66}{space 4}-.0011796{col 79}{space 3}-.0003622
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2}-.0282879{col 38}{space 2} .0120069{col 49}{space 1}   -2.36{col 58}{space 3}0.018{col 66}{space 4} -.051821{col 79}{space 3}-.0047549
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2} .0225904{col 38}{space 2} .0080845{col 49}{space 1}    2.79{col 58}{space 3}0.005{col 66}{space 4} .0067452{col 79}{space 3} .0384357
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2} .0147288{col 38}{space 2} .0107506{col 49}{space 1}    1.37{col 58}{space 3}0.171{col 66}{space 4}-.0063419{col 79}{space 3} .0357996
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2}-.0875518{col 38}{space 2} .0185339{col 49}{space 1}   -4.72{col 58}{space 3}0.000{col 66}{space 4}-.1238776{col 79}{space 3} -.051226
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0209839{col 38}{space 2} .0116801{col 49}{space 1}    1.80{col 58}{space 3}0.072{col 66}{space 4}-.0019086{col 79}{space 3} .0438765
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2} .0229139{col 38}{space 2} .0116367{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0001065{col 79}{space 3} .0457214
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2} .0203402{col 38}{space 2} .0092877{col 49}{space 1}    2.19{col 58}{space 3}0.029{col 66}{space 4} .0021366{col 79}{space 3} .0385437
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2}-.0009311{col 38}{space 2} .0099778{col 49}{space 1}   -0.09{col 58}{space 3}0.926{col 66}{space 4}-.0204873{col 79}{space 3} .0186251
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2} .0072302{col 38}{space 2} .0104489{col 49}{space 1}    0.69{col 58}{space 3}0.489{col 66}{space 4}-.0132493{col 79}{space 3} .0277097
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2} .0070102{col 38}{space 2} .0116326{col 49}{space 1}    0.60{col 58}{space 3}0.547{col 66}{space 4}-.0157892{col 79}{space 3} .0298096
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2} .0498192{col 38}{space 2} .0225179{col 49}{space 1}    2.21{col 58}{space 3}0.027{col 66}{space 4} .0056849{col 79}{space 3} .0939536
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2} .0843609{col 38}{space 2} .0140517{col 49}{space 1}    6.00{col 58}{space 3}0.000{col 66}{space 4}   .05682{col 79}{space 3} .1119017
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2} .0262571{col 38}{space 2}  .017707{col 49}{space 1}    1.48{col 58}{space 3}0.138{col 66}{space 4} -.008448{col 79}{space 3} .0609622
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2} .0169868{col 38}{space 2} .0136723{col 49}{space 1}    1.24{col 58}{space 3}0.214{col 66}{space 4}-.0098105{col 79}{space 3}  .043784
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. * [MODEL F4] FIGURE F3A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_1==1 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==1, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,712}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.29{col 49}{space 2}   0.5885
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.69{col 49}{space 2}   0.1935
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.14{col 49}{space 2}   0.2851
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.11{col 49}{space 2}   0.7437
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.53{col 49}{space 2}   0.4677
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.13{col 49}{space 2}   0.0768
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.28{col 49}{space 2}   0.0122
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.38{col 49}{space 2}   0.0038
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.34{col 49}{space 2}   0.0022
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.53{col 49}{space 2}   0.0020
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.25{col 49}{space 2}   0.0024
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.63{col 49}{space 2}   0.0033
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2} .0028043{col 37}{space 2} .0051835{col 48}{space 5}-.0073551{col 62}{space 3} .0129638
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2} .0062063{col 37}{space 2} .0047732{col 48}{space 5} -.003149{col 62}{space 3} .0155615
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2} .0114561{col 37}{space 2} .0107176{col 48}{space 5}-.0095501{col 62}{space 3} .0324623
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2} .0032986{col 37}{space 2} .0100903{col 48}{space 5}-.0164781{col 62}{space 3} .0230753
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}-.0061223{col 37}{space 2} .0084299{col 48}{space 5}-.0226446{col 62}{space 3} .0103999
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2}-.0137887{col 37}{space 2} .0077924{col 48}{space 5}-.0290614{col 62}{space 3} .0014841
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2}-.0198143{col 37}{space 2} .0079095{col 48}{space 5}-.0353166{col 62}{space 3}-.0043121
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2}-.0243132{col 37}{space 2} .0083976{col 48}{space 5}-.0407721{col 62}{space 3}-.0078542
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2} -.027399{col 37}{space 2} .0089644{col 48}{space 5}-.0449689{col 62}{space 3}-.0098291
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2}-.0291858{col 37}{space 2} .0094522{col 48}{space 5}-.0477119{col 62}{space 3}-.0106598
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0297875{col 37}{space 2} .0097948{col 48}{space 5} -.048985{col 62}{space 3}-.0105899
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2}-.0293178{col 37}{space 2} .0099773{col 48}{space 5}-.0488729{col 62}{space 3}-.0097626
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F3A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3A.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3A.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3A.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. *
. 
. * [MODEL F4] FIGURE F3B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,976}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}   107.30{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    32.81{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.19{col 49}{space 2}   0.6611
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9832
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.51{col 49}{space 2}   0.1132
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.84{col 49}{space 2}   0.0010
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.41{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.30{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    26.80{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    28.22{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    28.99{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    29.12{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2}-.0396433{col 37}{space 2} .0038271{col 48}{space 5}-.0471444{col 62}{space 3}-.0321423
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2}-.0264726{col 37}{space 2} .0046213{col 48}{space 5}-.0355302{col 62}{space 3} -.017415
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2} .0052065{col 37}{space 2} .0118754{col 48}{space 5} -.018069{col 62}{space 3} .0284819
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2}-.0002181{col 37}{space 2} .0103828{col 48}{space 5} -.020568{col 62}{space 3} .0201319
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2}-.0126352{col 37}{space 2} .0079758{col 48}{space 5}-.0282676{col 62}{space 3} .0029971
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2}-.0234189{col 37}{space 2} .0071138{col 48}{space 5}-.0373618{col 62}{space 3}-.0094761
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2} -.032607{col 37}{space 2} .0074017{col 48}{space 5}-.0471142{col 62}{space 3}-.0180999
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2}-.0402373{col 37}{space 2} .0081626{col 48}{space 5}-.0562357{col 62}{space 3} -.024239
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2}-.0463477{col 37}{space 2} .0089528{col 48}{space 5}-.0638949{col 62}{space 3}-.0288005
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2} -.050976{col 37}{space 2} .0095967{col 48}{space 5}-.0697852{col 62}{space 3}-.0321668
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2}  -.05416{col 37}{space 2} .0100587{col 48}{space 5}-.0738747{col 62}{space 3}-.0344454
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2}-.0559377{col 37}{space 2} .0103657{col 48}{space 5}-.0762541{col 62}{space 3}-.0356213
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F3B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3B.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3B.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3B.04-21-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F4] FIGURE F3C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==0|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,848}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.09{col 49}{space 2}   0.1482
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.84{col 49}{space 2}   0.3588
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.05{col 49}{space 2}   0.8293
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.87{col 49}{space 2}   0.3499
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.36{col 49}{space 2}   0.0666
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.96{col 49}{space 2}   0.0083
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.93{col 49}{space 2}   0.0016
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.44{col 49}{space 2}   0.0007
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.84{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.65{col 49}{space 2}   0.0006
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.14{col 49}{space 2}   0.0008
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.44{col 49}{space 2}   0.0012
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2} .0043171{col 37}{space 2} .0029861{col 48}{space 5}-.0015355{col 62}{space 3} .0101698
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2} .0033056{col 37}{space 2} .0036021{col 48}{space 5}-.0037544{col 62}{space 3} .0103656
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2}  -.00209{col 37}{space 2} .0096934{col 48}{space 5}-.0210887{col 62}{space 3} .0169087
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2}-.0086034{col 37}{space 2} .0092034{col 48}{space 5}-.0266417{col 62}{space 3}  .009435
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2}-.0142696{col 37}{space 2} .0077803{col 48}{space 5}-.0295186{col 62}{space 3} .0009795
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2}-.0189361{col 37}{space 2} .0071753{col 48}{space 5}-.0329994{col 62}{space 3}-.0048727
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2}-.0226505{col 37}{space 2} .0071872{col 48}{space 5}-.0367372{col 62}{space 3}-.0085639
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2}-.0254607{col 37}{space 2} .0075284{col 48}{space 5} -.040216{col 62}{space 3}-.0107053
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2}-.0274141{col 37}{space 2} .0079667{col 48}{space 5}-.0430286{col 62}{space 3}-.0117997
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2}-.0285587{col 37}{space 2} .0083677{col 48}{space 5} -.044959{col 62}{space 3}-.0121583
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2}-.0289419{col 37}{space 2} .0086699{col 48}{space 5}-.0459346{col 62}{space 3}-.0119492
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2}-.0286115{col 37}{space 2} .0088559{col 48}{space 5}-.0459687{col 62}{space 3}-.0112543
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F3C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3C.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3C.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3C.04-21-2025.gph} saved

{com}. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. * [MODEL F4] FIGURE F3D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==2 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:1,800}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    39.10{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    23.87{col 49}{space 2}   0.0000
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.18{col 49}{space 2}   0.6696
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.07{col 49}{space 2}   0.7870
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.44{col 49}{space 2}   0.5080
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.42{col 49}{space 2}   0.2339
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.80{col 49}{space 2}   0.0941
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.98{col 49}{space 2}   0.0460
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.87{col 49}{space 2}   0.0273
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.66{col 49}{space 2}   0.0174
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.44{col 49}{space 2}   0.0112
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.20{col 49}{space 2}   0.0073
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2}-.0424477{col 37}{space 2} .0067887{col 48}{space 5}-.0557533{col 62}{space 3}-.0291421
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2}-.0326789{col 37}{space 2}  .006689{col 48}{space 5}-.0457891{col 62}{space 3}-.0195687
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2}-.0062497{col 37}{space 2} .0146479{col 48}{space 5} -.034959{col 62}{space 3} .0224597
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2}-.0035167{col 37}{space 2} .0130157{col 48}{space 5}-.0290269{col 62}{space 3} .0219936
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2}-.0065129{col 37}{space 2} .0098378{col 48}{space 5}-.0257946{col 62}{space 3} .0127689
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2}-.0096302{col 37}{space 2} .0080909{col 48}{space 5}-.0254881{col 62}{space 3} .0062277
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2}-.0127927{col 37}{space 2}  .007641{col 48}{space 5}-.0277688{col 62}{space 3} .0021835
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2}-.0159242{col 37}{space 2} .0079808{col 48}{space 5}-.0315663{col 62}{space 3} -.000282
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2}-.0189487{col 37}{space 2} .0085846{col 48}{space 5}-.0357743{col 62}{space 3}-.0021231
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2}-.0217902{col 37}{space 2} .0091611{col 48}{space 5}-.0397456{col 62}{space 3}-.0038347
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2}-.0243726{col 37}{space 2} .0096076{col 48}{space 5}-.0432032{col 62}{space 3} -.005542
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2}-.0266199{col 37}{space 2} .0099205{col 48}{space 5}-.0460638{col 62}{space 3} -.007176
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Appointed Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F3D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Appointed Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3D.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3D.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3D.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F4] FIGURE F3E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + s) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==1|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,672}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.08{col 49}{space 2}   0.7828
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.33{col 49}{space 2}   0.5659
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.56{col 49}{space 2}   0.2120
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.37{col 49}{space 2}   0.2420
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.98{col 49}{space 2}   0.3230
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.52{col 49}{space 2}   0.4709
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.18{col 49}{space 2}   0.6742
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.03{col 49}{space 2}   0.8662
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9983
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9321
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9112
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9271
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2} .0015128{col 37}{space 2}  .005487{col 48}{space 5}-.0092415{col 62}{space 3} .0122671
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}-.0029007{col 37}{space 2} .0050528{col 48}{space 5} -.012804{col 62}{space 3} .0070027
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2}-.0135461{col 37}{space 2} .0108537{col 48}{space 5} -.034819{col 62}{space 3} .0077268
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} -.011902{col 37}{space 2} .0101735{col 48}{space 5}-.0318417{col 62}{space 3} .0080377
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2}-.0081472{col 37}{space 2} .0082427{col 48}{space 5}-.0243027{col 62}{space 3} .0080082
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2}-.0051474{col 37}{space 2} .0071395{col 48}{space 5}-.0191405{col 62}{space 3} .0088458
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2}-.0028362{col 37}{space 2} .0067458{col 48}{space 5}-.0160578{col 62}{space 3} .0103854
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2}-.0011475{col 37}{space 2} .0068101{col 48}{space 5}-.0144951{col 62}{space 3} .0122001
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2}-.0000151{col 37}{space 2} .0070719{col 48}{space 5}-.0138759{col 62}{space 3} .0138456
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2} .0006272{col 37}{space 2} .0073572{col 48}{space 5}-.0137927{col 62}{space 3} .0150471
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2} .0008456{col 37}{space 2} .0075805{col 48}{space 5} -.014012{col 62}{space 3} .0157032
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2} .0007063{col 37}{space 2} .0077157{col 48}{space 5}-.0144163{col 62}{space 3} .0158288
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F3E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F10]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3E.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3E.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3E.04-21-2025.gph} saved

{com}. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. * [MODEL F4] FIGURE F3F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_1==3 - AGENCYHEAD_GOVORD_1==2 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_1 if agencyhead_govord_1==2|agencyhead_govord_1==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,936}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    90.63{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    30.61{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.33{col 49}{space 2}   0.5679
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.54{col 49}{space 2}   0.4616
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.03{col 49}{space 2}   0.8519
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.37{col 49}{space 2}   0.5405
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.06{col 49}{space 2}   0.1514
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.24{col 49}{space 2}   0.0395
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.17{col 49}{space 2}   0.0130
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.73{col 49}{space 2}   0.0054
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.98{col 49}{space 2}   0.0027
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.90{col 49}{space 2}   0.0017
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_1@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2} .0439605{col 37}{space 2} .0046177{col 48}{space 5} .0349099{col 62}{space 3} .0530111
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2} .0297782{col 37}{space 2} .0053824{col 48}{space 5} .0192289{col 62}{space 3} .0403276
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2}-.0072965{col 37}{space 2} .0127746{col 48}{space 5}-.0323343{col 62}{space 3} .0177413
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2}-.0083853{col 37}{space 2} .0113888{col 48}{space 5}-.0307069{col 62}{space 3} .0139363
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2}-.0016343{col 37}{space 2} .0087526{col 48}{space 5}-.0187891{col 62}{space 3} .0155204
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2} .0044829{col 37}{space 2} .0073252{col 48}{space 5}-.0098742{col 62}{space 3} .0188399
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2} .0099565{col 37}{space 2} .0069405{col 48}{space 5}-.0036467{col 62}{space 3} .0235597
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2} .0147767{col 37}{space 2} .0071755{col 48}{space 5}  .000713{col 62}{space 3} .0288403
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2} .0189336{col 37}{space 2}  .007624{col 48}{space 5} .0039907{col 62}{space 3} .0338764
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2} .0224173{col 37}{space 2} .0080635{col 48}{space 5} .0066132{col 62}{space 3} .0382214
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2} .0252182{col 37}{space 2} .0084172{col 48}{space 5} .0087208{col 62}{space 3} .0417155
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2} .0273262{col 37}{space 2} .0086867{col 48}{space 5} .0103006{col 62}{space 3} .0443517
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Civil Administrative  - Prior Appointed Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F8F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Civil Administrative - Prior Appointed Administrative{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F4]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3F.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3F.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F4.FIGURE F3F.04-21-2025.gph} saved

{com}. 
. 
. 
. ***************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. ************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. 
. **** TEST H3: MODELS F5 & F6: "ADMINISTRATIVE LEADERSHIP, ORGANIZATIONAL ADAPTATION, & IMPLEMENTATION DELAY" MANUSCRIPT STATISTICAL ANALYSES [APRIL 2025]: ORGANIZATIONAL ADAPTATION EFFECTS ON IMPLEMENTATION DELAY **** 
. ***            (MODELS F5-F6; FIGURES F4A-F4F; F5A-F5F)
. 
. 
. 
. 
. *** ESTIMATE MODEL F5: 14 DAYS OR LESS [DELAY] [PROPORTION OF CASES WHERE INITIAL CLAIMS ARE EXECUTED WITHIN 14 DOL PERFORMANCE STANDARD: [CONTROLS, PLUS STATE, YEAR, AND YEAR-ADOPTION COHORT UNIT EFFECTS] ***       (FIGURES F4A-F4F) 
. 
. npregress series delay_14days  itmod_monthcount_placebo i.agencyhead_govord_2 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year itmod_monthcount  startcohort_2003_itstart startcohort_2004_itstart startcohort_2005_itstart   startcohort_2006_itstart  startcohort_2007_itstart  startcohort_2008_itstart  startcohort_2009_itstart  startcohort_2010_itstart  startcohort_2012_itstart  startcohort_2013_itstart  startcohort_2014_itstart  startcohort_2015_itstart  startcohort_2016_itstart startcohort_2017_itstart)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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done
{res}{text}{text:{bf:x}}: Error occurred when {bf:bootstrap} executed {bf:npregress}.
{res}
{txt}Cubic B-spline estimation {col 44}Number of obs      =  {res}        6,648
{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
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{txt}{space 21}47  {c |}{col 26}{res}{space 2} .0793065{col 38}{space 2} .0082928{col 49}{space 1}    9.56{col 58}{space 3}0.000{col 66}{space 4} .0630528{col 79}{space 3} .0955602
{txt}{space 21}50  {c |}{col 26}{res}{space 2} .0986462{col 38}{space 2}  .016586{col 49}{space 1}    5.95{col 58}{space 3}0.000{col 66}{space 4} .0661384{col 79}{space 3} .1311541
{txt}{space 21}51  {c |}{col 26}{res}{space 2} .0683704{col 38}{space 2} .0105762{col 49}{space 1}    6.46{col 58}{space 3}0.000{col 66}{space 4} .0476415{col 79}{space 3} .0890994
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0020457{col 38}{space 2} .0139059{col 49}{space 1}    0.15{col 58}{space 3}0.883{col 66}{space 4}-.0252093{col 79}{space 3} .0293007
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2} .0308545{col 38}{space 2} .0064803{col 49}{space 1}    4.76{col 58}{space 3}0.000{col 66}{space 4} .0181533{col 79}{space 3} .0435557
{txt}{space 19}2004  {c |}{col 26}{res}{space 2} .0455068{col 38}{space 2} .0065359{col 49}{space 1}    6.96{col 58}{space 3}0.000{col 66}{space 4} .0326966{col 79}{space 3}  .058317
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}  .036752{col 38}{space 2} .0075849{col 49}{space 1}    4.85{col 58}{space 3}0.000{col 66}{space 4} .0218859{col 79}{space 3} .0516182
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} .0347988{col 38}{space 2} .0077602{col 49}{space 1}    4.48{col 58}{space 3}0.000{col 66}{space 4} .0195891{col 79}{space 3} .0500085
{txt}{space 19}2007  {c |}{col 26}{res}{space 2} .0338929{col 38}{space 2} .0077848{col 49}{space 1}    4.35{col 58}{space 3}0.000{col 66}{space 4}  .018635{col 79}{space 3} .0491507
{txt}{space 19}2008  {c |}{col 26}{res}{space 2} .0300372{col 38}{space 2} .0079797{col 49}{space 1}    3.76{col 58}{space 3}0.000{col 66}{space 4} .0143973{col 79}{space 3} .0456771
{txt}{space 19}2009  {c |}{col 26}{res}{space 2} .0208381{col 38}{space 2} .0101879{col 49}{space 1}    2.05{col 58}{space 3}0.041{col 66}{space 4} .0008702{col 79}{space 3} .0408061
{txt}{space 19}2010  {c |}{col 26}{res}{space 2} .0343755{col 38}{space 2} .0109359{col 49}{space 1}    3.14{col 58}{space 3}0.002{col 66}{space 4} .0129415{col 79}{space 3} .0558096
{txt}{space 19}2011  {c |}{col 26}{res}{space 2} .0464209{col 38}{space 2} .0099753{col 49}{space 1}    4.65{col 58}{space 3}0.000{col 66}{space 4} .0268697{col 79}{space 3} .0659721
{txt}{space 19}2012  {c |}{col 26}{res}{space 2} .0188116{col 38}{space 2} .0102102{col 49}{space 1}    1.84{col 58}{space 3}0.065{col 66}{space 4}-.0012001{col 79}{space 3} .0388233
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}  .022304{col 38}{space 2} .0103581{col 49}{space 1}    2.15{col 58}{space 3}0.031{col 66}{space 4} .0020024{col 79}{space 3} .0426055
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}  .046182{col 38}{space 2} .0107688{col 49}{space 1}    4.29{col 58}{space 3}0.000{col 66}{space 4} .0250755{col 79}{space 3} .0672885
{txt}{space 19}2015  {c |}{col 26}{res}{space 2} .0600965{col 38}{space 2} .0106374{col 49}{space 1}    5.65{col 58}{space 3}0.000{col 66}{space 4} .0392475{col 79}{space 3} .0809454
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}  .075651{col 38}{space 2} .0111476{col 49}{space 1}    6.79{col 58}{space 3}0.000{col 66}{space 4} .0538021{col 79}{space 3}    .0975
{txt}{space 19}2017  {c |}{col 26}{res}{space 2} .0767102{col 38}{space 2}  .012278{col 49}{space 1}    6.25{col 58}{space 3}0.000{col 66}{space 4} .0526458{col 79}{space 3} .1007746
{txt}{space 19}2018  {c |}{col 26}{res}{space 2} .0761316{col 38}{space 2} .0127517{col 49}{space 1}    5.97{col 58}{space 3}0.000{col 66}{space 4} .0511388{col 79}{space 3} .1011245
{txt}{space 19}2019  {c |}{col 26}{res}{space 2} .0708905{col 38}{space 2} .0133652{col 49}{space 1}    5.30{col 58}{space 3}0.000{col 66}{space 4} .0446951{col 79}{space 3} .0970859
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}-.1189559{col 38}{space 2} .0188375{col 49}{space 1}   -6.31{col 58}{space 3}0.000{col 66}{space 4}-.1558766{col 79}{space 3}-.0820351
{txt}{space 19}2021  {c |}{col 26}{res}{space 2}-.1996002{col 38}{space 2} .0173886{col 49}{space 1}  -11.48{col 58}{space 3}0.000{col 66}{space 4}-.2336812{col 79}{space 3}-.1655192
{txt}{space 19}2022  {c |}{col 26}{res}{space 2}-.1662288{col 38}{space 2} .0218409{col 49}{space 1}   -7.61{col 58}{space 3}0.000{col 66}{space 4}-.2090362{col 79}{space 3}-.1234214
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2} .0008556{col 38}{space 2} .0002246{col 49}{space 1}    3.81{col 58}{space 3}0.000{col 66}{space 4} .0004154{col 79}{space 3} .0012958
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2} .0560708{col 38}{space 2} .0150684{col 49}{space 1}    3.72{col 58}{space 3}0.000{col 66}{space 4} .0265373{col 79}{space 3} .0856043
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2}-.0662913{col 38}{space 2} .0116822{col 49}{space 1}   -5.67{col 58}{space 3}0.000{col 66}{space 4} -.089188{col 79}{space 3}-.0433946
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2}-.0207374{col 38}{space 2} .0135135{col 49}{space 1}   -1.53{col 58}{space 3}0.125{col 66}{space 4}-.0472232{col 79}{space 3} .0057485
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2} .2681869{col 38}{space 2} .0195771{col 49}{space 1}   13.70{col 58}{space 3}0.000{col 66}{space 4} .2298165{col 79}{space 3} .3065573
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0522406{col 38}{space 2} .0170443{col 49}{space 1}    3.06{col 58}{space 3}0.002{col 66}{space 4} .0188345{col 79}{space 3} .0856468
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2}-.0539164{col 38}{space 2} .0159472{col 49}{space 1}   -3.38{col 58}{space 3}0.001{col 66}{space 4}-.0851724{col 79}{space 3}-.0226603
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2}-.0171568{col 38}{space 2} .0118625{col 49}{space 1}   -1.45{col 58}{space 3}0.148{col 66}{space 4}-.0404069{col 79}{space 3} .0060933
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2} .0247207{col 38}{space 2} .0123044{col 49}{space 1}    2.01{col 58}{space 3}0.045{col 66}{space 4} .0006046{col 79}{space 3} .0488368
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2}-.0135865{col 38}{space 2} .0133004{col 49}{space 1}   -1.02{col 58}{space 3}0.307{col 66}{space 4}-.0396548{col 79}{space 3} .0124818
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2}-.0421764{col 38}{space 2} .0145068{col 49}{space 1}   -2.91{col 58}{space 3}0.004{col 66}{space 4}-.0706093{col 79}{space 3}-.0137435
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2} -.064387{col 38}{space 2} .0279627{col 49}{space 1}   -2.30{col 58}{space 3}0.021{col 66}{space 4}-.1191929{col 79}{space 3}-.0095811
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2}-.1008172{col 38}{space 2} .0158316{col 49}{space 1}   -6.37{col 58}{space 3}0.000{col 66}{space 4}-.1318466{col 79}{space 3}-.0697878
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2}-.0340628{col 38}{space 2} .0225582{col 49}{space 1}   -1.51{col 58}{space 3}0.131{col 66}{space 4} -.078276{col 79}{space 3} .0101504
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2} .0209844{col 38}{space 2} .0176658{col 49}{space 1}    1.19{col 58}{space 3}0.235{col 66}{space 4}  -.01364{col 79}{space 3} .0556087
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. *
. * [MODEL F5] FIGURE F4A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,712}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.60{col 49}{space 2}   0.0102
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.19{col 49}{space 2}   0.6663
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.35{col 49}{space 2}   0.0117
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.01{col 49}{space 2}   0.0451
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.69{col 49}{space 2}   0.4073
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.27{col 49}{space 2}   0.6024
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.67{col 49}{space 2}   0.1024
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.57{col 49}{space 2}   0.0183
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.77{col 49}{space 2}   0.0053
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.15{col 49}{space 2}   0.0025
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.87{col 49}{space 2}   0.0017
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.05{col 49}{space 2}   0.0015
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2} .0182315{col 37}{space 2} .0070964{col 48}{space 5} .0043229{col 62}{space 3} .0321402
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2} .0027743{col 37}{space 2} .0064333{col 48}{space 5}-.0098348{col 62}{space 3} .0153833
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2}-.0334043{col 37}{space 2} .0132579{col 48}{space 5}-.0593894{col 62}{space 3}-.0074192
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2}-.0248634{col 37}{space 2} .0124097{col 48}{space 5}-.0491859{col 62}{space 3}-.0005408
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}-.0085951{col 37}{space 2} .0103718{col 48}{space 5}-.0289235{col 62}{space 3} .0117334
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2} .0050329{col 37}{space 2} .0096599{col 48}{space 5}-.0139001{col 62}{space 3}  .023966
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2} .0161733{col 37}{space 2} .0099014{col 48}{space 5}-.0032331{col 62}{space 3} .0355797
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2} .0249788{col 37}{space 2}  .010585{col 48}{space 5} .0042325{col 62}{space 3}  .045725
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2}  .031602{col 37}{space 2} .0113375{col 48}{space 5} .0093808{col 62}{space 3} .0538231
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2} .0361957{col 37}{space 2} .0119645{col 48}{space 5} .0127458{col 62}{space 3} .0596456
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2} .0389126{col 37}{space 2} .0123865{col 48}{space 5} .0146355{col 62}{space 3} .0631896
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2} .0399053{col 37}{space 2} .0125871{col 48}{space 5} .0152351{col 62}{space 3} .0645755
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4A.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4A.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4A.04-21-2025.gph} saved

{com}. *
. 
. 
. 
. 
. * [MODEL F5] FIGURE F4B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,238}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.46{col 49}{space 2}   0.0021
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.37{col 49}{space 2}   0.0004
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.36{col 49}{space 2}   0.0206
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.94{col 49}{space 2}   0.0084
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.02{col 49}{space 2}   0.0016
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.29{col 49}{space 2}   0.0005
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.62{col 49}{space 2}   0.0004
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.80{col 49}{space 2}   0.0006
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.90{col 49}{space 2}   0.0010
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.33{col 49}{space 2}   0.0013
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.10{col 49}{space 2}   0.0015
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.15{col 49}{space 2}   0.0014
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2} .0127592{col 37}{space 2}  .004148{col 48}{space 5} .0046293{col 62}{space 3}  .020889
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2} .0175049{col 37}{space 2} .0049772{col 48}{space 5} .0077496{col 62}{space 3} .0272601
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2} .0303541{col 37}{space 2}  .013113{col 48}{space 5} .0046532{col 62}{space 3} .0560551
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2} .0319497{col 37}{space 2} .0121272{col 48}{space 5} .0081807{col 62}{space 3} .0557187
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2} .0313171{col 37}{space 2} .0098944{col 48}{space 5} .0119244{col 62}{space 3} .0507099
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2} .0311341{col 37}{space 2} .0088817{col 48}{space 5} .0137264{col 62}{space 3} .0485419
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2}  .031305{col 37}{space 2} .0088133{col 48}{space 5} .0140312{col 62}{space 3} .0485788
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2} .0317339{col 37}{space 2} .0092388{col 48}{space 5} .0136263{col 62}{space 3} .0498416
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2} .0323252{col 37}{space 2} .0097898{col 48}{space 5} .0131376{col 62}{space 3} .0515129
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2} .0329831{col 37}{space 2} .0102633{col 48}{space 5} .0128675{col 62}{space 3} .0530988
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2} .0336119{col 37}{space 2} .0105751{col 48}{space 5} .0128851{col 62}{space 3} .0543388
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2} .0341159{col 37}{space 2} .0107086{col 48}{space 5} .0131273{col 62}{space 3} .0551044
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4B.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4B.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4B.04-21-2025.gph} saved

{com}. 
. 
. 
. 
. * [MODEL F5] FIGURE F4C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,586}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    12.12{col 49}{space 2}   0.0005
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    25.27{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    17.12{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    22.55{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    31.65{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.42{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.28{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    33.44{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    28.86{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    24.87{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    21.70{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.20{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2} .0194436{col 37}{space 2} .0055854{col 48}{space 5} .0084966{col 62}{space 3} .0303907
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2} .0276063{col 37}{space 2} .0054914{col 48}{space 5} .0168434{col 62}{space 3} .0383692
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2}  .050673{col 37}{space 2} .0122481{col 48}{space 5}  .026667{col 62}{space 3} .0746789
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2} .0553401{col 37}{space 2} .0116539{col 48}{space 5} .0324988{col 62}{space 3} .0781814
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2} .0553056{col 37}{space 2} .0098304{col 48}{space 5} .0360383{col 62}{space 3} .0745729
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2} .0549502{col 37}{space 2} .0089831{col 48}{space 5} .0373437{col 62}{space 3} .0725567
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2} .0542844{col 37}{space 2} .0088902{col 48}{space 5} .0368599{col 62}{space 3} .0717089
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2} .0533189{col 37}{space 2} .0092202{col 48}{space 5} .0352475{col 62}{space 3} .0713902
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2} .0520641{col 37}{space 2} .0096914{col 48}{space 5} .0330693{col 62}{space 3} .0710589
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2} .0505308{col 37}{space 2} .0101324{col 48}{space 5} .0306716{col 62}{space 3} .0703901
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2} .0487296{col 37}{space 2}  .010461{col 48}{space 5} .0282263{col 62}{space 3} .0692328
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2} .0466709{col 37}{space 2} .0106501{col 48}{space 5} .0257972{col 62}{space 3} .0675447
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4C.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4C.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4C.04-21-2025.gph} saved

{com}. 
. 
. 
. 
. * [MODEL F5] FIGURE F4D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,062}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.52{col 49}{space 2}   0.4701
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.79{col 49}{space 2}   0.0515
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    15.05{col 49}{space 2}   0.0001
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    14.27{col 49}{space 2}   0.0002
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.42{col 49}{space 2}   0.0007
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.97{col 49}{space 2}   0.0083
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.74{col 49}{space 2}   0.0978
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.54{col 49}{space 2}   0.4626
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9399
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.10{col 49}{space 2}   0.7489
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.26{col 49}{space 2}   0.6091
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.30{col 49}{space 2}   0.5826
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2}-.0054724{col 37}{space 2} .0075766{col 48}{space 5}-.0203222{col 62}{space 3} .0093775
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2} .0147306{col 37}{space 2} .0075659{col 48}{space 5}-.0000983{col 62}{space 3} .0295594
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2} .0637584{col 37}{space 2} .0164377{col 48}{space 5} .0315412{col 62}{space 3} .0959757
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2} .0568131{col 37}{space 2} .0150413{col 48}{space 5} .0273326{col 62}{space 3} .0862936
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2} .0399122{col 37}{space 2} .0118114{col 48}{space 5} .0167624{col 62}{space 3}  .063062
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} .0261012{col 37}{space 2} .0098835{col 48}{space 5} .0067299{col 62}{space 3} .0454725
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2} .0151317{col 37}{space 2} .0091401{col 48}{space 5}-.0027825{col 62}{space 3} .0330459
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2} .0067552{col 37}{space 2} .0091959{col 48}{space 5}-.0112684{col 62}{space 3} .0247788
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2} .0007233{col 37}{space 2} .0095985{col 48}{space 5}-.0180895{col 62}{space 3}  .019536
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2}-.0032125{col 37}{space 2} .0100381{col 48}{space 5}-.0228869{col 62}{space 3} .0164619
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2}-.0053006{col 37}{space 2} .0103654{col 48}{space 5}-.0256165{col 62}{space 3} .0150152
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2}-.0057894{col 37}{space 2} .0105354{col 48}{space 5}-.0264383{col 62}{space 3} .0148595
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4D.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4D.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4D.04-21-2025.gph} saved

{com}. 
. 
. 
. 
. * [MODEL F5] FIGURE F4E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,410}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.02{col 49}{space 2}   0.8891
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.59{col 49}{space 2}   0.0011
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    34.97{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    37.75{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    38.34{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    31.83{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.07{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.20{col 49}{space 2}   0.0014
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.63{col 49}{space 2}   0.0313
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.00{col 49}{space 2}   0.1569
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.86{col 49}{space 2}   0.3546
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.38{col 49}{space 2}   0.5350
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2} .0012121{col 37}{space 2} .0086929{col 48}{space 5}-.0158257{col 62}{space 3} .0182499
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}  .024832{col 37}{space 2} .0076323{col 48}{space 5}  .009873{col 62}{space 3}  .039791
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2} .0840773{col 37}{space 2} .0142171{col 48}{space 5} .0562123{col 62}{space 3} .1119422
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2} .0802035{col 37}{space 2} .0130543{col 48}{space 5} .0546175{col 62}{space 3} .1057894
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2} .0639007{col 37}{space 2} .0103194{col 48}{space 5}  .043675{col 62}{space 3} .0841263
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2} .0499173{col 37}{space 2} .0088476{col 48}{space 5} .0325764{col 62}{space 3} .0672582
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2} .0381111{col 37}{space 2} .0085061{col 48}{space 5} .0214395{col 62}{space 3} .0547827
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2} .0283401{col 37}{space 2} .0088734{col 48}{space 5} .0109485{col 62}{space 3} .0457317
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2} .0204621{col 37}{space 2} .0095057{col 48}{space 5} .0018313{col 62}{space 3}  .039093
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2} .0143351{col 37}{space 2} .0101256{col 48}{space 5}-.0055106{col 62}{space 3} .0341809
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2}  .009817{col 37}{space 2} .0106052{col 48}{space 5}-.0109688{col 62}{space 3} .0306028
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2} .0067656{col 37}{space 2} .0109044{col 48}{space 5}-.0146066{col 62}{space 3} .0281378
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4E.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4E.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4E.04-21-2025.gph} saved

{com}. 
. 
. 
. * [MODEL F5] FIGURE F4F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,936}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.32{col 49}{space 2}   0.2507
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.72{col 49}{space 2}   0.0992
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.03{col 49}{space 2}   0.1542
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.16{col 49}{space 2}   0.0754
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.34{col 49}{space 2}   0.0208
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.68{col 49}{space 2}   0.0056
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.84{col 49}{space 2}   0.0030
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.20{col 49}{space 2}   0.0042
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.58{col 49}{space 2}   0.0103
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.88{col 49}{space 2}   0.0272
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.44{col 49}{space 2}   0.0637
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.31{col 49}{space 2}   0.1287
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2} .0066845{col 37}{space 2} .0058191{col 48}{space 5}-.0047207{col 62}{space 3} .0180897
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2} .0101014{col 37}{space 2} .0061268{col 48}{space 5}-.0019068{col 62}{space 3} .0221097
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2} .0203188{col 37}{space 2} .0142587{col 48}{space 5}-.0076277{col 62}{space 3} .0482653
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2} .0233904{col 37}{space 2} .0131558{col 48}{space 5}-.0023944{col 62}{space 3} .0491752
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2} .0239885{col 37}{space 2} .0103788{col 48}{space 5} .0036463{col 62}{space 3} .0443307
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2} .0238161{col 37}{space 2} .0085943{col 48}{space 5} .0069715{col 62}{space 3} .0406606
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2} .0229794{col 37}{space 2} .0077297{col 48}{space 5} .0078294{col 62}{space 3} .0381295
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2} .0215849{col 37}{space 2} .0075392{col 48}{space 5} .0068084{col 62}{space 3} .0363615
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2} .0197389{col 37}{space 2} .0076963{col 48}{space 5} .0046544{col 62}{space 3} .0348234
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2} .0175477{col 37}{space 2} .0079468{col 48}{space 5} .0019723{col 62}{space 3}  .033123
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2} .0151176{col 37}{space 2} .0081526{col 48}{space 5}-.0008613{col 62}{space 3} .0310965
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2}  .012555{col 37}{space 2} .0082633{col 48}{space 5}-.0036407{col 62}{space 3} .0287507
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F4F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative{c )-}" "{c -(}bf:Proportion of Cases Met 14 Day Limit [MODEL F5]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Timely Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4F.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4F.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F5.FIGURE F4F.04-21-2025.gph} saved

{com}. 
. 
. 
. 
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. *****************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************************
. 
. 
. 
. 
. 
. *** MODEL F6: 28 DAYS OR MORE [DELAY] [PROPORTION OF CASES WHERE THE INITIAL UIC PAYMENT IS MADE BEYOND 28 DAYS [2 WEEKS] OF STATE UI AGENCY APPROVAL: [CONTROLS, PLUS STATE AND YEAR UNIT EFFECTS] ***         [FIGURES F5A-F6F]
. 
. npregress series delay_29plusdays  itmod_monthcount_placebo i.agencyhead_govord_2 if itmod_adopt_state==1, asis(agencyhead_tenure automationrate wstaff_load staff_tdiff unemp_rate  function_sup_avgsalreal i.stateid i.year  itmod_monthcount startcohort_2003_itstart startcohort_2004_itstart startcohort_2005_itstart   startcohort_2006_itstart  startcohort_2007_itstart  startcohort_2008_itstart  startcohort_2009_itstart  startcohort_2010_itstart  startcohort_2012_itstart  startcohort_2013_itstart  startcohort_2014_itstart  startcohort_2015_itstart  startcohort_2016_itstart startcohort_2017_itstart)   vce(bootstrap, seed(123) rep(1000))
{res}{txt}(running {bf:npregress} on estimation sample)
{res}
{text}Bootstrap replications ({result:1,000}){text}: 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done
{res}
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{txt}Criterion: {res:cross validation}{col 44}Number of knots    =  {res}            1
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{txt}{space 21}51  {c |}{col 26}{res}{space 2}-.0071812{col 38}{space 2} .0078777{col 49}{space 1}   -0.91{col 58}{space 3}0.362{col 66}{space 4}-.0226211{col 79}{space 3} .0082587
{txt}{space 21}52  {c |}{col 26}{res}{space 2} .0039047{col 38}{space 2} .0084705{col 49}{space 1}    0.46{col 58}{space 3}0.645{col 66}{space 4}-.0126972{col 79}{space 3} .0205066
{txt}{space 24} {c |}
{space 20}year {c |}
{space 19}2003  {c |}{col 26}{res}{space 2}-.0204344{col 38}{space 2} .0039418{col 49}{space 1}   -5.18{col 58}{space 3}0.000{col 66}{space 4}-.0281602{col 79}{space 3}-.0127085
{txt}{space 19}2004  {c |}{col 26}{res}{space 2}-.0244122{col 38}{space 2} .0041879{col 49}{space 1}   -5.83{col 58}{space 3}0.000{col 66}{space 4}-.0326204{col 79}{space 3} -.016204
{txt}{space 19}2005  {c |}{col 26}{res}{space 2}-.0207072{col 38}{space 2} .0049774{col 49}{space 1}   -4.16{col 58}{space 3}0.000{col 66}{space 4}-.0304627{col 79}{space 3}-.0109516
{txt}{space 19}2006  {c |}{col 26}{res}{space 2} -.015658{col 38}{space 2} .0051088{col 49}{space 1}   -3.06{col 58}{space 3}0.002{col 66}{space 4}-.0256711{col 79}{space 3}-.0056449
{txt}{space 19}2007  {c |}{col 26}{res}{space 2}-.0181973{col 38}{space 2} .0053949{col 49}{space 1}   -3.37{col 58}{space 3}0.001{col 66}{space 4}-.0287712{col 79}{space 3}-.0076235
{txt}{space 19}2008  {c |}{col 26}{res}{space 2}-.0190166{col 38}{space 2} .0055653{col 49}{space 1}   -3.42{col 58}{space 3}0.001{col 66}{space 4}-.0299244{col 79}{space 3}-.0081088
{txt}{space 19}2009  {c |}{col 26}{res}{space 2}-.0193804{col 38}{space 2} .0080479{col 49}{space 1}   -2.41{col 58}{space 3}0.016{col 66}{space 4} -.035154{col 79}{space 3}-.0036069
{txt}{space 19}2010  {c |}{col 26}{res}{space 2}-.0212825{col 38}{space 2} .0087646{col 49}{space 1}   -2.43{col 58}{space 3}0.015{col 66}{space 4}-.0384607{col 79}{space 3}-.0041042
{txt}{space 19}2011  {c |}{col 26}{res}{space 2}-.0333102{col 38}{space 2} .0077098{col 49}{space 1}   -4.32{col 58}{space 3}0.000{col 66}{space 4}-.0484212{col 79}{space 3}-.0181993
{txt}{space 19}2012  {c |}{col 26}{res}{space 2}-.0122049{col 38}{space 2} .0078066{col 49}{space 1}   -1.56{col 58}{space 3}0.118{col 66}{space 4}-.0275055{col 79}{space 3} .0030957
{txt}{space 19}2013  {c |}{col 26}{res}{space 2}-.0137885{col 38}{space 2} .0078283{col 49}{space 1}   -1.76{col 58}{space 3}0.078{col 66}{space 4}-.0291317{col 79}{space 3} .0015547
{txt}{space 19}2014  {c |}{col 26}{res}{space 2}-.0169362{col 38}{space 2} .0080237{col 49}{space 1}   -2.11{col 58}{space 3}0.035{col 66}{space 4}-.0326623{col 79}{space 3}  -.00121
{txt}{space 19}2015  {c |}{col 26}{res}{space 2}-.0325144{col 38}{space 2}  .007605{col 49}{space 1}   -4.28{col 58}{space 3}0.000{col 66}{space 4}-.0474199{col 79}{space 3}-.0176089
{txt}{space 19}2016  {c |}{col 26}{res}{space 2}-.0344274{col 38}{space 2} .0079049{col 49}{space 1}   -4.36{col 58}{space 3}0.000{col 66}{space 4}-.0499206{col 79}{space 3}-.0189341
{txt}{space 19}2017  {c |}{col 26}{res}{space 2}-.0384665{col 38}{space 2} .0088893{col 49}{space 1}   -4.33{col 58}{space 3}0.000{col 66}{space 4}-.0558892{col 79}{space 3}-.0210437
{txt}{space 19}2018  {c |}{col 26}{res}{space 2}-.0347818{col 38}{space 2} .0094896{col 49}{space 1}   -3.67{col 58}{space 3}0.000{col 66}{space 4}-.0533811{col 79}{space 3}-.0161825
{txt}{space 19}2019  {c |}{col 26}{res}{space 2}-.0304316{col 38}{space 2} .0099939{col 49}{space 1}   -3.05{col 58}{space 3}0.002{col 66}{space 4}-.0500193{col 79}{space 3} -.010844
{txt}{space 19}2020  {c |}{col 26}{res}{space 2}  .143348{col 38}{space 2} .0155908{col 49}{space 1}    9.19{col 58}{space 3}0.000{col 66}{space 4} .1127907{col 79}{space 3} .1739054
{txt}{space 19}2021  {c |}{col 26}{res}{space 2} .2196842{col 38}{space 2} .0143133{col 49}{space 1}   15.35{col 58}{space 3}0.000{col 66}{space 4} .1916306{col 79}{space 3} .2477377
{txt}{space 19}2022  {c |}{col 26}{res}{space 2} .2054702{col 38}{space 2} .0190664{col 49}{space 1}   10.78{col 58}{space 3}0.000{col 66}{space 4} .1681007{col 79}{space 3} .2428397
{txt}{space 24} {c |}
{space 8}itmod_monthcount {c |}{col 26}{res}{space 2}-.0006667{col 38}{space 2} .0002106{col 49}{space 1}   -3.17{col 58}{space 3}0.002{col 66}{space 4}-.0010794{col 79}{space 3} -.000254
{txt}startcohort_2003_itstart {c |}{col 26}{res}{space 2}-.0316397{col 38}{space 2} .0110687{col 49}{space 1}   -2.86{col 58}{space 3}0.004{col 66}{space 4}-.0533341{col 79}{space 3}-.0099454
{txt}startcohort_2004_itstart {c |}{col 26}{res}{space 2} .0329192{col 38}{space 2} .0082264{col 49}{space 1}    4.00{col 58}{space 3}0.000{col 66}{space 4} .0167958{col 79}{space 3} .0490426
{txt}startcohort_2005_itstart {c |}{col 26}{res}{space 2} .0135663{col 38}{space 2} .0109658{col 49}{space 1}    1.24{col 58}{space 3}0.216{col 66}{space 4}-.0079263{col 79}{space 3} .0350589
{txt}startcohort_2006_itstart {c |}{col 26}{res}{space 2}-.0920838{col 38}{space 2} .0177992{col 49}{space 1}   -5.17{col 58}{space 3}0.000{col 66}{space 4}-.1269696{col 79}{space 3}-.0571981
{txt}startcohort_2007_itstart {c |}{col 26}{res}{space 2} .0158625{col 38}{space 2} .0118668{col 49}{space 1}    1.34{col 58}{space 3}0.181{col 66}{space 4} -.007396{col 79}{space 3} .0391209
{txt}startcohort_2008_itstart {c |}{col 26}{res}{space 2} .0146089{col 38}{space 2} .0121803{col 49}{space 1}    1.20{col 58}{space 3}0.230{col 66}{space 4}-.0092641{col 79}{space 3} .0384818
{txt}startcohort_2009_itstart {c |}{col 26}{res}{space 2} .0045979{col 38}{space 2} .0093731{col 49}{space 1}    0.49{col 58}{space 3}0.624{col 66}{space 4} -.013773{col 79}{space 3} .0229688
{txt}startcohort_2010_itstart {c |}{col 26}{res}{space 2}-.0113837{col 38}{space 2} .0097071{col 49}{space 1}   -1.17{col 58}{space 3}0.241{col 66}{space 4}-.0304093{col 79}{space 3} .0076418
{txt}startcohort_2012_itstart {c |}{col 26}{res}{space 2}-.0047405{col 38}{space 2} .0103567{col 49}{space 1}   -0.46{col 58}{space 3}0.647{col 66}{space 4}-.0250392{col 79}{space 3} .0155583
{txt}startcohort_2013_itstart {c |}{col 26}{res}{space 2} .0089368{col 38}{space 2}  .011665{col 49}{space 1}    0.77{col 58}{space 3}0.444{col 66}{space 4}-.0139261{col 79}{space 3} .0317998
{txt}startcohort_2014_itstart {c |}{col 26}{res}{space 2} .0534907{col 38}{space 2} .0229827{col 49}{space 1}    2.33{col 58}{space 3}0.020{col 66}{space 4} .0084454{col 79}{space 3} .0985361
{txt}startcohort_2015_itstart {c |}{col 26}{res}{space 2} .0718269{col 38}{space 2}  .014226{col 49}{space 1}    5.05{col 58}{space 3}0.000{col 66}{space 4} .0439445{col 79}{space 3} .0997093
{txt}startcohort_2016_itstart {c |}{col 26}{res}{space 2} .0292312{col 38}{space 2} .0178291{col 49}{space 1}    1.64{col 58}{space 3}0.101{col 66}{space 4}-.0057132{col 79}{space 3} .0641756
{txt}startcohort_2017_itstart {c |}{col 26}{res}{space 2} .0083821{col 38}{space 2} .0143223{col 49}{space 1}    0.59{col 58}{space 3}0.558{col 66}{space 4}-.0196891{col 79}{space 3} .0364533
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *
. *
. *
. 
. * [MODEL F6] FIGURE F5A: First-Difference Marginal Effect AGENCYHEAD_GOVORD_2==1 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==1, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,712}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.17{col 49}{space 2}   0.6779
{txt}{space 11}(1 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.56{col 49}{space 2}   0.4535
{txt}{space 11}(1 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.06{col 49}{space 2}   0.1514
{txt}{space 11}(1 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.57{col 49}{space 2}   0.4485
{txt}{space 11}(1 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.09{col 49}{space 2}   0.7633
{txt}{space 11}(1 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.88{col 49}{space 2}   0.1709
{txt}{space 11}(1 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.63{col 49}{space 2}   0.0313
{txt}{space 11}(1 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.78{col 49}{space 2}   0.0092
{txt}{space 11}(1 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.99{col 49}{space 2}   0.0047
{txt}{space 11}(1 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.47{col 49}{space 2}   0.0036
{txt}{space 11}(1 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.46{col 49}{space 2}   0.0036
{txt}{space 11}(1 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.08{col 49}{space 2}   0.0045
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(1 vs 0)  1  {c |}{col 25}{res}{space 2}-.0021714{col 37}{space 2} .0052281{col 48}{space 5}-.0124183{col 62}{space 3} .0080755
{txt}{space 11}(1 vs 0)  2  {c |}{col 25}{res}{space 2} .0035955{col 37}{space 2} .0047967{col 48}{space 5}-.0058058{col 62}{space 3} .0129968
{txt}{space 11}(1 vs 0)  3  {c |}{col 25}{res}{space 2} .0151796{col 37}{space 2} .0105823{col 48}{space 5}-.0055613{col 62}{space 3} .0359206
{txt}{space 11}(1 vs 0)  4  {c |}{col 25}{res}{space 2} .0075834{col 37}{space 2}  .010006{col 48}{space 5}-.0120279{col 62}{space 3} .0271948
{txt}{space 11}(1 vs 0)  5  {c |}{col 25}{res}{space 2}-.0025439{col 37}{space 2} .0084484{col 48}{space 5}-.0191024{col 62}{space 3} .0140146
{txt}{space 11}(1 vs 0)  6  {c |}{col 25}{res}{space 2}-.0108175{col 37}{space 2} .0078997{col 48}{space 5}-.0263006{col 62}{space 3} .0046656
{txt}{space 11}(1 vs 0)  7  {c |}{col 25}{res}{space 2}-.0173601{col 37}{space 2} .0080642{col 48}{space 5}-.0331656{col 62}{space 3}-.0015546
{txt}{space 11}(1 vs 0)  8  {c |}{col 25}{res}{space 2}-.0222947{col 37}{space 2} .0085593{col 48}{space 5}-.0390707{col 62}{space 3}-.0055188
{txt}{space 11}(1 vs 0)  9  {c |}{col 25}{res}{space 2}-.0257442{col 37}{space 2} .0091071{col 48}{space 5}-.0435939{col 62}{space 3}-.0078946
{txt}{space 11}(1 vs 0) 10  {c |}{col 25}{res}{space 2}-.0278315{col 37}{space 2} .0095613{col 48}{space 5}-.0465712{col 62}{space 3}-.0090917
{txt}{space 11}(1 vs 0) 11  {c |}{col 25}{res}{space 2}-.0286793{col 37}{space 2} .0098618{col 48}{space 5}-.0480081{col 62}{space 3}-.0093506
{txt}{space 11}(1 vs 0) 12  {c |}{col 25}{res}{space 2}-.0284107{col 37}{space 2} .0099974{col 48}{space 5}-.0480053{col 62}{space 3} -.008816
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) /// 
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Political Related Only - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5A{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Political Related Only - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5A.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5A.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5A.04-21-2025.gph} saved

{com}. *
. 
. * [MODEL F6] FIGURE F5B: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:4,238}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.20{col 49}{space 2}   0.0024
{txt}{space 11}(2 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.55{col 49}{space 2}   0.0594
{txt}{space 11}(2 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.21{col 49}{space 2}   0.6467
{txt}{space 11}(2 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.87{col 49}{space 2}   0.3504
{txt}{space 11}(2 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.19{col 49}{space 2}   0.0739
{txt}{space 11}(2 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.48{col 49}{space 2}   0.0109
{txt}{space 11}(2 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     8.78{col 49}{space 2}   0.0030
{txt}{space 11}(2 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.72{col 49}{space 2}   0.0018
{txt}{space 11}(2 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.98{col 49}{space 2}   0.0016
{txt}{space 11}(2 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    10.00{col 49}{space 2}   0.0016
{txt}{space 11}(2 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.93{col 49}{space 2}   0.0016
{txt}{space 11}(2 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.75{col 49}{space 2}   0.0018
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 0)  1  {c |}{col 25}{res}{space 2}-.0086107{col 37}{space 2} .0028381{col 48}{space 5}-.0141732{col 62}{space 3}-.0030481
{txt}{space 11}(2 vs 0)  2  {c |}{col 25}{res}{space 2}-.0070496{col 37}{space 2} .0037399{col 48}{space 5}-.0143796{col 62}{space 3} .0002804
{txt}{space 11}(2 vs 0)  3  {c |}{col 25}{res}{space 2}-.0047112{col 37}{space 2} .0102786{col 48}{space 5}-.0248568{col 62}{space 3} .0154344
{txt}{space 11}(2 vs 0)  4  {c |}{col 25}{res}{space 2}-.0087202{col 37}{space 2} .0093388{col 48}{space 5}-.0270239{col 62}{space 3} .0095834
{txt}{space 11}(2 vs 0)  5  {c |}{col 25}{res}{space 2}-.0135286{col 37}{space 2} .0075705{col 48}{space 5}-.0283665{col 62}{space 3} .0013093
{txt}{space 11}(2 vs 0)  6  {c |}{col 25}{res}{space 2}-.0177085{col 37}{space 2} .0069572{col 48}{space 5}-.0313444{col 62}{space 3}-.0040726
{txt}{space 11}(2 vs 0)  7  {c |}{col 25}{res}{space 2}-.0212524{col 37}{space 2} .0071731{col 48}{space 5}-.0353114{col 62}{space 3}-.0071934
{txt}{space 11}(2 vs 0)  8  {c |}{col 25}{res}{space 2}-.0241527{col 37}{space 2} .0077483{col 48}{space 5}-.0393391{col 62}{space 3}-.0089662
{txt}{space 11}(2 vs 0)  9  {c |}{col 25}{res}{space 2}-.0264018{col 37}{space 2} .0083583{col 48}{space 5}-.0427838{col 62}{space 3}-.0100198
{txt}{space 11}(2 vs 0) 10  {c |}{col 25}{res}{space 2}-.0279922{col 37}{space 2} .0088514{col 48}{space 5}-.0453406{col 62}{space 3}-.0106439
{txt}{space 11}(2 vs 0) 11  {c |}{col 25}{res}{space 2}-.0289164{col 37}{space 2} .0091781{col 48}{space 5}-.0469051{col 62}{space 3}-.0109276
{txt}{space 11}(2 vs 0) 12  {c |}{col 25}{res}{space 2}-.0291667{col 37}{space 2} .0093411{col 48}{space 5}-.0474749{col 62}{space 3}-.0108584
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5B{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.08(0.02)0.08, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5B.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5B.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5B.04-21-2025.gph} saved

{com}. *
. 
. * [MODEL F6] FIGURE F5C: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==0 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==0|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,586}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    16.54{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    11.26{col 49}{space 2}   0.0008
{txt}{space 11}(3 vs 0)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.25{col 49}{space 2}   0.2645
{txt}{space 11}(3 vs 0)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.91{col 49}{space 2}   0.0879
{txt}{space 11}(3 vs 0)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     7.54{col 49}{space 2}   0.0060
{txt}{space 11}(3 vs 0)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    13.40{col 49}{space 2}   0.0003
{txt}{space 11}(3 vs 0)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    17.86{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.97{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.47{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    20.22{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.69{col 49}{space 2}   0.0000
{txt}{space 11}(3 vs 0) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}    19.01{col 49}{space 2}   0.0000
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 0)  1  {c |}{col 25}{res}{space 2}-.0155513{col 37}{space 2} .0038236{col 48}{space 5}-.0230455{col 62}{space 3}-.0080572
{txt}{space 11}(3 vs 0)  2  {c |}{col 25}{res}{space 2}-.0137501{col 37}{space 2} .0040979{col 48}{space 5}-.0217819{col 62}{space 3}-.0057184
{txt}{space 11}(3 vs 0)  3  {c |}{col 25}{res}{space 2} -.011295{col 37}{space 2} .0101219{col 48}{space 5}-.0311336{col 62}{space 3} .0085435
{txt}{space 11}(3 vs 0)  4  {c |}{col 25}{res}{space 2}-.0164231{col 37}{space 2} .0096229{col 48}{space 5}-.0352836{col 62}{space 3} .0024375
{txt}{space 11}(3 vs 0)  5  {c |}{col 25}{res}{space 2}-.0223004{col 37}{space 2}   .00812{col 48}{space 5}-.0382154{col 62}{space 3}-.0063854
{txt}{space 11}(3 vs 0)  6  {c |}{col 25}{res}{space 2}-.0272354{col 37}{space 2} .0074415{col 48}{space 5}-.0418204{col 62}{space 3}-.0126504
{txt}{space 11}(3 vs 0)  7  {c |}{col 25}{res}{space 2}-.0312723{col 37}{space 2}  .007399{col 48}{space 5}-.0457739{col 62}{space 3}-.0167706
{txt}{space 11}(3 vs 0)  8  {c |}{col 25}{res}{space 2}-.0344552{col 37}{space 2} .0077109{col 48}{space 5}-.0495683{col 62}{space 3} -.019342
{txt}{space 11}(3 vs 0)  9  {c |}{col 25}{res}{space 2}-.0368283{col 37}{space 2} .0081409{col 48}{space 5}-.0527841{col 62}{space 3}-.0208725
{txt}{space 11}(3 vs 0) 10  {c |}{col 25}{res}{space 2}-.0384359{col 37}{space 2}  .008547{col 48}{space 5}-.0551877{col 62}{space 3}-.0216841
{txt}{space 11}(3 vs 0) 11  {c |}{col 25}{res}{space 2}-.0393221{col 37}{space 2} .0088626{col 48}{space 5}-.0566925{col 62}{space 3}-.0219517
{txt}{space 11}(3 vs 0) 12  {c |}{col 25}{res}{space 2}-.0395311{col 37}{space 2} .0090669{col 48}{space 5}-.0573019{col 62}{space 3}-.0217604
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative - No Prior Government") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5C{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - No Prior Government{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5C.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5C.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5C.04-21-2025.gph} saved

{com}. *
. 
. 
. 
. * [MODEL F6] FIGURE F5D: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==2 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==2, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,062}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.26{col 49}{space 2}   0.2615
{txt}{space 11}(2 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.68{col 49}{space 2}   0.0550
{txt}{space 11}(2 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.76{col 49}{space 2}   0.0964
{txt}{space 11}(2 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.21{col 49}{space 2}   0.1371
{txt}{space 11}(2 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.58{col 49}{space 2}   0.2088
{txt}{space 11}(2 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.83{col 49}{space 2}   0.3621
{txt}{space 11}(2 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.29{col 49}{space 2}   0.5903
{txt}{space 11}(2 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.06{col 49}{space 2}   0.8011
{txt}{space 11}(2 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9316
{txt}{space 11}(2 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9838
{txt}{space 11}(2 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.00{col 49}{space 2}   0.9765
{txt}{space 11}(2 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.01{col 49}{space 2}   0.9253
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(2 vs 1)  1  {c |}{col 25}{res}{space 2}-.0064393{col 37}{space 2} .0057344{col 48}{space 5}-.0176784{col 62}{space 3} .0047999
{txt}{space 11}(2 vs 1)  2  {c |}{col 25}{res}{space 2}-.0106451{col 37}{space 2} .0055485{col 48}{space 5}  -.02152{col 62}{space 3} .0002298
{txt}{space 11}(2 vs 1)  3  {c |}{col 25}{res}{space 2}-.0198909{col 37}{space 2} .0119645{col 48}{space 5}-.0433409{col 62}{space 3} .0035591
{txt}{space 11}(2 vs 1)  4  {c |}{col 25}{res}{space 2}-.0163037{col 37}{space 2}  .010966{col 48}{space 5}-.0377966{col 62}{space 3} .0051893
{txt}{space 11}(2 vs 1)  5  {c |}{col 25}{res}{space 2}-.0109847{col 37}{space 2} .0087388{col 48}{space 5}-.0281124{col 62}{space 3}  .006143
{txt}{space 11}(2 vs 1)  6  {c |}{col 25}{res}{space 2} -.006891{col 37}{space 2} .0075604{col 48}{space 5}-.0217092{col 62}{space 3} .0079271
{txt}{space 11}(2 vs 1)  7  {c |}{col 25}{res}{space 2}-.0038923{col 37}{space 2} .0072286{col 48}{space 5}-.0180601{col 62}{space 3} .0102755
{txt}{space 11}(2 vs 1)  8  {c |}{col 25}{res}{space 2}-.0018579{col 37}{space 2} .0073733{col 48}{space 5}-.0163093{col 62}{space 3} .0125934
{txt}{space 11}(2 vs 1)  9  {c |}{col 25}{res}{space 2}-.0006576{col 37}{space 2}  .007664{col 48}{space 5}-.0156788{col 62}{space 3} .0143636
{txt}{space 11}(2 vs 1) 10  {c |}{col 25}{res}{space 2}-.0001608{col 37}{space 2} .0079124{col 48}{space 5}-.0156687{col 62}{space 3} .0153472
{txt}{space 11}(2 vs 1) 11  {c |}{col 25}{res}{space 2}-.0002371{col 37}{space 2} .0080454{col 48}{space 5}-.0160057{col 62}{space 3} .0155315
{txt}{space 11}(2 vs 1) 12  {c |}{col 25}{res}{space 2} -.000756{col 37}{space 2} .0080597{col 48}{space 5}-.0165527{col 62}{space 3} .0150407
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior Non-UIP Administrative - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5D{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior Non-UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5D.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5D.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5D.04-21-2025.gph} saved

{com}. *
. 
. 
. 
. 
. * [MODEL F6] FIGURE F5E: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==1 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==1|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:2,410}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.48{col 49}{space 2}   0.0343
{txt}{space 11}(3 vs 1)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     9.72{col 49}{space 2}   0.0018
{txt}{space 11}(3 vs 1)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.08{col 49}{space 2}   0.0137
{txt}{space 11}(3 vs 1)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.87{col 49}{space 2}   0.0154
{txt}{space 11}(3 vs 1)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     6.26{col 49}{space 2}   0.0123
{txt}{space 11}(3 vs 1)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     5.77{col 49}{space 2}   0.0163
{txt}{space 11}(3 vs 1)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     4.45{col 49}{space 2}   0.0349
{txt}{space 11}(3 vs 1)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     3.14{col 49}{space 2}   0.0762
{txt}{space 11}(3 vs 1)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.30{col 49}{space 2}   0.1290
{txt}{space 11}(3 vs 1) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.88{col 49}{space 2}   0.1701
{txt}{space 11}(3 vs 1) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.74{col 49}{space 2}   0.1865
{txt}{space 11}(3 vs 1) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.81{col 49}{space 2}   0.1781
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 1)  1  {c |}{col 25}{res}{space 2}-.0133799{col 37}{space 2} .0063227{col 48}{space 5}-.0257721{col 62}{space 3}-.0009877
{txt}{space 11}(3 vs 1)  2  {c |}{col 25}{res}{space 2}-.0173456{col 37}{space 2} .0055626{col 48}{space 5}-.0282481{col 62}{space 3}-.0064432
{txt}{space 11}(3 vs 1)  3  {c |}{col 25}{res}{space 2}-.0264747{col 37}{space 2} .0107368{col 48}{space 5}-.0475185{col 62}{space 3}-.0054309
{txt}{space 11}(3 vs 1)  4  {c |}{col 25}{res}{space 2}-.0240065{col 37}{space 2} .0099078{col 48}{space 5}-.0434254{col 62}{space 3}-.0045876
{txt}{space 11}(3 vs 1)  5  {c |}{col 25}{res}{space 2}-.0197565{col 37}{space 2} .0078947{col 48}{space 5}-.0352298{col 62}{space 3}-.0042831
{txt}{space 11}(3 vs 1)  6  {c |}{col 25}{res}{space 2}-.0164179{col 37}{space 2}  .006833{col 48}{space 5}-.0298104{col 62}{space 3}-.0030254
{txt}{space 11}(3 vs 1)  7  {c |}{col 25}{res}{space 2}-.0139121{col 37}{space 2} .0065947{col 48}{space 5}-.0268375{col 62}{space 3}-.0009867
{txt}{space 11}(3 vs 1)  8  {c |}{col 25}{res}{space 2}-.0121604{col 37}{space 2} .0068573{col 48}{space 5}-.0256005{col 62}{space 3} .0012797
{txt}{space 11}(3 vs 1)  9  {c |}{col 25}{res}{space 2}-.0110841{col 37}{space 2}  .007301{col 48}{space 5}-.0253938{col 62}{space 3} .0032256
{txt}{space 11}(3 vs 1) 10  {c |}{col 25}{res}{space 2}-.0106044{col 37}{space 2} .0077302{col 48}{space 5}-.0257554{col 62}{space 3} .0045465
{txt}{space 11}(3 vs 1) 11  {c |}{col 25}{res}{space 2}-.0106428{col 37}{space 2} .0080571{col 48}{space 5}-.0264345{col 62}{space 3} .0051489
{txt}{space 11}(3 vs 1) 12  {c |}{col 25}{res}{space 2}-.0111205{col 37}{space 2} .0082575{col 48}{space 5}-.0273048{col 62}{space 3} .0050639
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Political Related Only") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5E{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Political Related Only{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5E.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5E.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5E.04-21-2025.gph} saved

{com}. *
. 
. 
. 
. * [MODEL F6] FIGURE F5F: First-Difference Marginal Effect  AGENCYHEAD_GOVORD_2==3 - AGENCYHEAD_GOVORD_2==2 [WITH RESPECT TO MONTHS SINCE PROJECT START (t + k) : 0 1 6 12.....60]
. 
. margins r.agencyhead_govord_2 if agencyhead_govord_2==2|agencyhead_govord_2==3, at(itmod_monthcount_placebo=(0 1 6 12 18 24 30 36 42 48 54 60))
{res}
{txt}{col 1}Contrasts of predictive margins{col 58}{lalign 13:Number of obs}{col 71} = {res}{ralign 5:3,936}
{txt}{col 1}Model VCE: {res:Bootstrap}

{txt}{p2colset 1 13 13 2}{...}
{p2col:Expression:}{res:Mean function, predict()}{p_end}
{p2colreset}{...}
{lalign 8:1._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:0}}
{lalign 8:2._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:1}}
{lalign 8:3._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:6}}
{lalign 8:4._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:12}}
{lalign 8:5._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:18}}
{lalign 8:6._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:24}}
{lalign 8:7._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:30}}
{lalign 8:8._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:36}}
{lalign 8:9._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:42}}
{lalign 8:10._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:48}}
{lalign 8:11._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:54}}
{lalign 8:12._at: }{space 0}{lalign 16:itmod_monthcou~o} = {res:{ralign 2:60}}
{res}
{col 1}{text}{hline 24}{c TT}{hline 11}{hline 12}{hline 11}
{col 25}{text}{c |}         df{col 37}        chi2{col 49}     P>chi2
{res}{col 1}{text}{hline 24}{c +}{hline 11}{hline 12}{hline 11}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.43{col 49}{space 2}   0.1188
{txt}{space 11}(3 vs 2)  2  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.13{col 49}{space 2}   0.1442
{txt}{space 11}(3 vs 2)  3  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.40{col 49}{space 2}   0.5245
{txt}{space 11}(3 vs 2)  4  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     0.67{col 49}{space 2}   0.4137
{txt}{space 11}(3 vs 2)  5  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     1.39{col 49}{space 2}   0.2378
{txt}{space 11}(3 vs 2)  6  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.26{col 49}{space 2}   0.1326
{txt}{space 11}(3 vs 2)  7  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.79{col 49}{space 2}   0.0946
{txt}{space 11}(3 vs 2)  8  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.84{col 49}{space 2}   0.0917
{txt}{space 11}(3 vs 2)  9  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.67{col 49}{space 2}   0.1023
{txt}{space 11}(3 vs 2) 10  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.48{col 49}{space 2}   0.1156
{txt}{space 11}(3 vs 2) 11  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.34{col 49}{space 2}   0.1262
{txt}{space 11}(3 vs 2) 12  {res}{col 25}{text}{c |}{result}{space 2}        1{col 37}{space 3}     2.28{col 49}{space 2}   0.1314
{col 1}{text}                 Joint {col 25}{c |}{result}  (not testable)
{col 1}{text}{hline 24}{c BT}{hline 11}{hline 12}{hline 11}
{res}
{txt}{hline 24}{c TT}{hline 11}{hline 11}{hline 14}{hline 12}
{col 25}{c |}{col 37} Delta-method
{col 25}{c |}   Contrast{col 37}   std. err.{col 49}     [95% con{col 62}f. interval]
{hline 24}{c +}{hline 11}{hline 11}{hline 14}{hline 12}
agencyhead_govord_2@_at {c |}
{space 11}(3 vs 2)  1  {c |}{col 25}{res}{space 2}-.0069406{col 37}{space 2} .0044491{col 48}{space 5}-.0156607{col 62}{space 3} .0017795
{txt}{space 11}(3 vs 2)  2  {c |}{col 25}{res}{space 2}-.0067005{col 37}{space 2} .0045881{col 48}{space 5} -.015693{col 62}{space 3} .0022919
{txt}{space 11}(3 vs 2)  3  {c |}{col 25}{res}{space 2}-.0065838{col 37}{space 2} .0103455{col 48}{space 5}-.0268606{col 62}{space 3}  .013693
{txt}{space 11}(3 vs 2)  4  {c |}{col 25}{res}{space 2}-.0077028{col 37}{space 2} .0094237{col 48}{space 5}-.0261729{col 62}{space 3} .0107672
{txt}{space 11}(3 vs 2)  5  {c |}{col 25}{res}{space 2}-.0087718{col 37}{space 2}  .007431{col 48}{space 5}-.0233362{col 62}{space 3} .0057927
{txt}{space 11}(3 vs 2)  6  {c |}{col 25}{res}{space 2}-.0095269{col 37}{space 2} .0063341{col 48}{space 5}-.0219415{col 62}{space 3} .0028878
{txt}{space 11}(3 vs 2)  7  {c |}{col 25}{res}{space 2}-.0100199{col 37}{space 2} .0059946{col 48}{space 5} -.021769{col 62}{space 3} .0017293
{txt}{space 11}(3 vs 2)  8  {c |}{col 25}{res}{space 2}-.0103025{col 37}{space 2} .0061086{col 48}{space 5}-.0222751{col 62}{space 3} .0016701
{txt}{space 11}(3 vs 2)  9  {c |}{col 25}{res}{space 2}-.0104265{col 37}{space 2} .0063816{col 48}{space 5}-.0229341{col 62}{space 3} .0020811
{txt}{space 11}(3 vs 2) 10  {c |}{col 25}{res}{space 2}-.0104437{col 37}{space 2} .0066376{col 48}{space 5}-.0234531{col 62}{space 3} .0025657
{txt}{space 11}(3 vs 2) 11  {c |}{col 25}{res}{space 2}-.0104057{col 37}{space 2} .0068042{col 48}{space 5}-.0237417{col 62}{space 3} .0029302
{txt}{space 11}(3 vs 2) 12  {c |}{col 25}{res}{space 2}-.0103644{col 37}{space 2} .0068711{col 48}{space 5}-.0238315{col 62}{space 3} .0031027
{txt}{hline 24}{c BT}{hline 11}{hline 11}{hline 14}{hline 12}
{res}{txt}
{com}. 
. marginsplot, recast(connected) ciopt(color(%40)) recastci(rarea) ///
> yline(0, lcolor(%40gs) lpattern(shortdash)) ///
> legend(on order(1 "Prior UIP Administrative  - Prior Non-UIP Administrative") pos(6) ring(2) cols(2) size(9pt))  ///
> title(" {c -(}bf:FIGURE F5F{c )-}""{c -(}bf:Conditional Adaptation Estimates: Prior UIP Administrative - Prior Non-UIP Administrative{c )-}" "{c -(}bf:Proportion of Cases Met Exceeding 28 Days [MODEL F6]{c )-}", size(10pt) linegap(0.7) margin(t+1 b+2)) ///
> xtitle("Months since Project Start", size(10pt) margin(t+2 b+2)) ///
> ytitle("Lapsed Payment Rate Differential", size(10pt) margin(r+2)) ///
> xlabel(0 "0" 1 "1" 6 "6" 12 "12" 18 "18" 24 "24" 30 "30" 36 "36" 42 "42" 48 "48" 54 "54" 60 "60", labsize(9pt) ) ///
> ylabel(-0.16(0.04)0.16, labsize(9pt) format(%9.2f) angle(0)) xsize(6)
{res}
{text}{p 0 0 2}Variables that uniquely identify margins: {bf:itmod_monthcount_placebo}{p_end}
{p 0 4 2}
{txt}(note:  named style
% 40gs not found in class
color,  default attributes used)
{p_end}
{res}{txt}
{com}. *
. *
. graph save "Graph" "C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5F.04-21-2025.gph", replace
{txt}{p 0 4 2}
(file {bf}
C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5F.04-21-2025.gph{rm}
not found)
{p_end}
{res}{txt}file {bf:C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Graphics\marginsplot.Model F6.FIGURE F5F.04-21-2025.gph} saved

{com}. 
. 
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. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\gk57526\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Implementation Delay Project (Paper #2)\JPART Conditional Acceptance\Empirics\Output\Implementation Delay.APPENDIX F.04-21-2025.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}21 Apr 2025, 21:45:23
{txt}{.-}
{smcl}
{txt}{sf}{ul off}